Peera Thontirawong, Prabhas Chongstitvatana · 2013
Abstract — A GPU-style processor has large amount of processing power on a given die compared to a general purpose processor. However, a Graphic Processing Unit must be executed in lock-step where a group of cores execute the same instruction. This constraint puts a real limitation on programming of a GPU. This work proposed a design of a processor that unifies the execution of Graphic Processing Units and a general purpose processor. The discussion of programming model of vectorised instructions and the extension to allow multicores to run independently is presented. The proposed design required only 3 % additional resource compared to the original design. This design is suitable for embedded applications.
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Meinke, Jan, Herten, Andreas, Hrywniak, Markus et al. · JuSER Publikationsportal · 2024
GPU-accelerated computing drives current scientific research. Writing fast numeric algorithms for GPUs offers high application performance by offloading compute-intensive portions of the code to a GPU.This advanced course consists of modules providing more in-depth coverage of multi-GPU programming, modern CUDA concepts, CUDA Fortran, and portable programming models such as OpenACC and C++ parallel STL algorithms.Topics covered will includeA) Advanced Multi-GPU Programming with MPIB) Advanced Multi-GPU Programming with NCCL and NVSHMEMC) Advanced and Modern CUDA Concepts (Cooperative Groups, CUDA Graphs, CUB Primitives, Modern C++ Programming)D) CUDA FortranE) GPU Programming with Abstractions (OpenACC, Standard Language Programming (pSTL))
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Meinke, J., Kreutz, J., Homberg, W. et al. · JuSER (Forschungszentrum Jülich) · 2010
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Meinke, J., Kreutz, J., Eschweiler, D. et al. · JuSER (Forschungszentrum Jülich) · 2011
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Hageboeck, Stephan · CERN Document Server (European Organization for Nuclear Research) · 2024
<!--HTML--><h2 style="-webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); box-sizing: inherit; color: rgb(85, 85, 85); font-family: 'Roboto Light', sans-serif; font-size: 1.6em; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; letter-spacing: normal; line-height: 1.28571em; margin: 0em 0em 1rem; orphans: 2; padding: 0em; text-align: start; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;"><strong>Abstract</strong></h2>\n<p style="-webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); box-sizing: inherit; color: rgb(119, 119, 119); font-family: Roboto, sans-serif; font-size: 13.2px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; letter-spacing: normal; line-height: 1.4285em; margin: 0em 0em 1em; orphans: 2; text-align: start; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;">In this lecture, we will look into the basics of GPU computing to understand in which circumstances the usage of GPUs is beneficial for scientific computing. Using the Nvidia CUDA GPUs as examples, will learn how the hardware works, which guides us towards how it has to be programmed.</p>\n<h2 style="-webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); box-sizing: inherit; color: rgb(85, 85, 85); font-family: 'Roboto Light', sans-serif; font-size: 1.6em; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; letter-spacing: normal; line-height: 1.28571em; margin: calc(2rem - 0.142857em) 0em; orphans: 2; padding: 0em; text-align: start; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;"><span style="color: rgb(192,57,43);"><span style="box-sizing: inherit;"><strong>Requirements</strong></span></span></h2>\n<p style="-webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); box-sizing: inherit; color: rgb(119, 119, 119); font-family: Roboto, sans-serif; font-size: 13.2px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; letter-spacing: normal; line-height: 1.4285em; margin: 0em 0em 1em; orphans: 2; text-align: start; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;">Students should have written basic C/C++ programs before, and should be familiar with pointers and arrays and/or vectors of data.</p>\n<p style="-webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); box-sizing: inherit; color: rgb(119, 119, 119); font-family: Roboto, sans-serif; font-size: 13.2px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; letter-spacing: normal; line-height: 1.4285em; margin: 0em 0em 1em; orphans: 2; text-align: start; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;"><strong>Hands on: </strong>We have the option to play with a few basic CUDA applications. There's three ways in which you can participate:</p>\n<ol>\n<li>Linux / Mac laptop with ssh.</li>\n<li>Any laptop and a browser using SWAN.\n<ul>\n<li><span style="color: rgba(0, 0, 0, 0.87);">Please create a cernbox if you haven’t done so. After logging in to CERN, just visit </span><a href="https://cernbox.cern.ch/">https://cernbox.cern.ch</a><span style="color: rgba(0, 0, 0, 0.87);">, and it will be created automatically.</span></li>\n<li><span style="color: rgba(0, 0, 0, 0.87);">Then, register at </span><a href="https://e-groups.cern.ch/e-groups/EgroupsSubscription.do?egroupName=openlab-gpu-lecture24">https://e-groups.cern.ch/e-groups/EgroupsSubscription.do?egroupName=openlab-gpu-lecture24</a></li>\n<li><strong style="color: rgba(0, 0, 0, 0.87);">This has to be done one day before the hands-on</strong><span style="color: rgba(0, 0, 0, 0.87);"> </span></li>\n</ul>\n</li>\n<li>Team programming. If the two above are not for you, we will team up and work together.</li>\n</ol>\n<h2><strong>Bio</strong></h2>\n<p style="-webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); box-sizing: inherit; color: rgb(119, 119, 119); font-family: Roboto, sans-serif; font-size: 13.2px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; letter-spacing: normal; line-height: 1.4285em; margin: 0em; orphans: 2; text-align: start; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;">Stephan obtained a PhD in particle physics, searching for decays of the Higgs boson with the ATLAS detector. Afterwards, he worked for the ROOT project at CERN, focussing on high-throughput computing and RooFit, a package for fitting and statistical analysis of data. Now, Stephan is a computing engineer in CERN IT's innovation group, focussing on GPU computing for high-energy physics.</p>
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Meinke, J., Kreutz, J., Homberg, W. et al. · JuSER (Forschungszentrum Jülich) · 2012
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Hageboeck, Stephan · CERN Document Server (European Organization for Nuclear Research) · 2025
<!--HTML--><h2 style="-webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); box-sizing: inherit; color: rgb(85, 85, 85); font-family: 'Roboto Light', sans-serif; font-size: 1.6em; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; letter-spacing: normal; line-height: 1.28571em; margin: 0em 0em 1rem; orphans: 2; padding: 0em; text-align: start; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;"><strong>Abstract</strong></h2> <p style="-webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); box-sizing: inherit; color: rgb(119, 119, 119); font-family: Roboto, sans-serif; font-size: 13.2px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; letter-spacing: normal; line-height: 1.4285em; margin: 0em 0em 1em; orphans: 2; text-align: start; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;">In this lecture, we will look into the basics of GPU computing to understand in which circumstances the usage of GPUs is beneficial for scientific computing. Using the Nvidia CUDA GPUs as examples, will learn how the hardware works, which guides us towards how it has to be programmed. <h2 style="-webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); box-sizing: inherit; color: rgb(85, 85, 85); font-family: 'Roboto Light', sans-serif; font-size: 1.6em; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; letter-spacing: normal; line-height: 1.28571em; margin: calc(2rem - 0.142857em) 0em; orphans: 2; padding: 0em; text-align: start; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;"><span style="color: rgb(192,57,43);"><span style="box-sizing: inherit;"><strong>Requirements</strong></span></span></h2> <p style="-webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); box-sizing: inherit; color: rgb(119, 119, 119); font-family: Roboto, sans-serif; font-size: 13.2px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; letter-spacing: normal; line-height: 1.4285em; margin: 0em 0em 1em; orphans: 2; text-align: start; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;">Students should have written basic C/C++ programs before, and should be familiar with pointers and arrays and/or vectors of data. <p style="-webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); box-sizing: inherit; color: rgb(119, 119, 119); font-family: Roboto, sans-serif; font-size: 13.2px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; letter-spacing: normal; line-height: 1.4285em; margin: 0em 0em 1em; orphans: 2; text-align: start; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;"><strong>Hands on: </strong>We have the option to play with a few basic CUDA applications. There's three ways in which you can participate: <ol> <li>Linux / Mac laptop with ssh.</li> <li>Any laptop and a browser using SWAN. <ul> <li><span style="color: rgba(0, 0, 0, 0.87);">Please create a cernbox if you haven’t done so. After logging in to CERN, just visit </span><a href="https://cernbox.cern.ch/">https://cernbox.cern.ch</a><span style="color: rgba(0, 0, 0, 0.87);">, and it will be created automatically.</span></li> <li><span style="color: rgba(0, 0, 0, 0.87);">Then, register at <a href="https://e-groups.cern.ch/e-groups/EgroupsSubscription.do?egroupName=openlab-gpu-lecture25">https://e-groups.cern.ch/e-groups/EgroupsSubscription.do?egroupName=openlab-gpu-lecture25</a></span></li> <li><strong style="color: rgba(0, 0, 0, 0.87);">This has to be done one day before the hands-on</strong><span style="color: rgba(0, 0, 0, 0.87);"> </span></li> </ul> </li> <li>Team programming. If the two above are not for you, we will team up and work together.</li> </ol> <h2><strong>Bio</strong></h2> <p style="-webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); box-sizing: inherit; color: rgb(119, 119, 119); font-family: Roboto, sans-serif; font-size: 13.2px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; letter-spacing: normal; line-height: 1.4285em; margin: 0em; orphans: 2; text-align: start; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;">Stephan obtained a PhD in particle physics, searching for decays of the Higgs boson with the ATLAS detector. Afterwards, he worked for the ROOT project at CERN, focussing on high-throughput computing and RooFit, a package for fitting and statistical analysis of data. Now, Stephan is a computing engineer in CERN IT's innovation group, focussing on GPU computing for high-energy physics. <p style="-webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); box-sizing: inherit; color: rgb(119, 119, 119); font-family: Roboto, sans-serif; font-size: 13.2px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; letter-spacing: normal; line-height: 1.4285em; margin: 0em; orphans: 2; text-align: start; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;"> <p style="-webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); box-sizing: inherit; color: rgb(119, 119, 119); font-family: Roboto, sans-serif; font-size: 13.2px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; letter-spacing: normal; line-height: 1.4285em; margin: 0em; orphans: 2; text-align: start; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;">Please note that pictures and videos might be taken during the event. The pictures and videos might be used for communication about the event. By joining the lecture, you are agreeing to being featured in these communication actions.
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Hageboeck, Stephan · CERN Document Server (European Organization for Nuclear Research) · 2023
<!--HTML--><h2 style="-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);box-sizing:inherit;color:rgb(85, 85, 85);font-family:&quot;Roboto Light&quot;, sans-serif;font-size:1.6em;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;letter-spacing:normal;line-height:1.28571em;margin:0em 0em 1rem;orphans:2;padding:0em;text-align:start;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;"><strong>Lecture Contents</strong></h2><p style="-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);box-sizing:inherit;color:rgb(119, 119, 119);font-family:Roboto, sans-serif;font-size:13.2px;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;line-height:1.4285em;margin:0em 0em 1em;orphans:2;text-align:start;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;">In this lecture, we will look into the basics of GPU computing to understand in which circumstances the usage of GPUs is beneficial for scientific computing. Using the Nvidia CUDA GPUs as examples,&nbsp;will learn how the hardware works, which guides us towards how it has to be programmed.</p><h2 style="-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);box-sizing:inherit;color:rgb(85, 85, 85);font-family:&quot;Roboto Light&quot;, sans-serif;font-size:1.6em;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;letter-spacing:normal;line-height:1.28571em;margin:calc(2rem - 0.142857em) 0em;orphans:2;padding:0em;text-align:start;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;"><span style="color:rgb(192,57,43);"><span style="box-sizing:inherit;"><strong>Requirements</strong></span></span></h2><p style="-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);box-sizing:inherit;color:rgb(119, 119, 119);font-family:Roboto, sans-serif;font-size:13.2px;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;line-height:1.4285em;margin:0em 0em 1em;orphans:2;text-align:start;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;">Students should have written basic C/C++ programs before, and should be familiar with pointers and arrays and/or vectors of data.</p><p style="-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);box-sizing:inherit;color:rgb(119, 119, 119);font-family:Roboto, sans-serif;font-size:13.2px;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;line-height:1.4285em;margin:0em 0em 1em;orphans:2;text-align:start;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;"><strong>Hands on:&nbsp;</strong>We have the option to play with a few basic CUDA applications. There's three ways in which you can participate:</p><ol><li>Linux / Mac laptop with ssh.</li><li>Any laptop and a browser.&nbsp;Please register on the current page&nbsp;to be granted access to GPUs on CERN's SWAN cluster. You will need a cernbox account, which is created once you visit<span>&nbsp;</span><a href="https://cernbox.cern.ch/">https://cernbox.cern.ch</a>. Note that the number of GPUs is limited.</li><li>Team programming. If the two above are not for you, we will team up and work together.</li></ol><h3 style="-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);box-sizing:inherit;color:rgb(85, 85, 85);font-family:&quot;Roboto Light&quot;, sans-serif;font-size:1.2em;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;letter-spacing:normal;line-height:1.28571em;margin:calc(2rem - 0.142857em) 0em;orphans:2;padding:0em;text-align:start;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;"><strong>Short Speaker Bio</strong></h3><p style="-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);box-sizing:inherit;color:rgb(119, 119, 119);font-family:Roboto, sans-serif;font-size:13.2px;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;line-height:1.4285em;margin:0em;orphans:2;text-align:start;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;">Stephan obtained&nbsp;a PhD in particle physics, searching for decays of the Higgs boson with the ATLAS detector. Afterwards, he worked for the ROOT project at CERN, focussing on high-throughput computing&nbsp;and RooFit, a package for&nbsp;fitting and statistical analysis of data. Now, Stephan is a computing engineer in CERN IT's innovation group, focussing on GPU computing for high-energy physics.</p>
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Qiming Sun · Theoretical and computational chemistry · 2025
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Stephan Hageboeck · CERN Document Server (European Organization for Nuclear Research) · 2022
<!--HTML--><h2>Lecture Contents</h2> In this lecture, we will look into the basics of GPU computing to understand in which circumstances the usage of GPUs is beneficial for scientific computing. Using the Nvidia CUDA GPUs as examples, will learn how the hardware works, which guides us towards how it has to be programmed. <h2><span style="color:#c0392b">Requirements</span></h2> Students should have written basic C/C++ programs before, and should be familiar with pointers and arrays and/or vectors of data. <strong>Hands on: </strong>We have the option to play with a few basic CUDA applications. There's three ways in which you can participate: <ol> <li>Linux / Mac laptop with ssh.</li> <li>Any laptop and a browser. Please register on the current page to be granted access to GPUs on CERN's SWAN cluster. You will need a cernbox account, which is created once you visit <a href="https://cernbox.cern.ch">https://cernbox.cern.ch</a>. Note that the number of GPUs is limited.</li> <li>Team programming. If the two above are not for you, we will team up and work together.</li> </ol> <h3>Short Speaker Bio</h3> Stephan obtained a PhD in particle physics, searching for decays of the Higgs boson with the ATLAS detector. Afterwards, he worked for the ROOT project at CERN, focussing on high-throughput computing and RooFit, a package for fitting and statistical analysis of data. Now, Stephan is a computing engineer in CERN IT's innovation group, focussing on GPU computing for high-energy physics.
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Stephan Hageboeck · CERN Document Server (European Organization for Nuclear Research) · 2023
<!--HTML--><h2 style="-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);box-sizing:inherit;color:rgb(85, 85, 85);font-family:"Roboto Light", sans-serif;font-size:1.6em;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;letter-spacing:normal;line-height:1.28571em;margin:0em 0em 1rem;orphans:2;padding:0em;text-align:start;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;"><strong>Lecture Contents</strong></h2><p style="-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);box-sizing:inherit;color:rgb(119, 119, 119);font-family:Roboto, sans-serif;font-size:13.2px;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;line-height:1.4285em;margin:0em 0em 1em;orphans:2;text-align:start;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;">In this lecture, we will look into the basics of GPU computing to understand in which circumstances the usage of GPUs is beneficial for scientific computing. Using the Nvidia CUDA GPUs as examples, will learn how the hardware works, which guides us towards how it has to be programmed. <h2 style="-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);box-sizing:inherit;color:rgb(85, 85, 85);font-family:"Roboto Light", sans-serif;font-size:1.6em;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;letter-spacing:normal;line-height:1.28571em;margin:calc(2rem - 0.142857em) 0em;orphans:2;padding:0em;text-align:start;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;"><span style="color:rgb(192,57,43);"><span style="box-sizing:inherit;"><strong>Requirements</strong></span></span></h2><p style="-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);box-sizing:inherit;color:rgb(119, 119, 119);font-family:Roboto, sans-serif;font-size:13.2px;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;line-height:1.4285em;margin:0em 0em 1em;orphans:2;text-align:start;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;">Students should have written basic C/C++ programs before, and should be familiar with pointers and arrays and/or vectors of data. <p style="-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);box-sizing:inherit;color:rgb(119, 119, 119);font-family:Roboto, sans-serif;font-size:13.2px;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;line-height:1.4285em;margin:0em 0em 1em;orphans:2;text-align:start;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;"><strong>Hands on: </strong>We have the option to play with a few basic CUDA applications. There's three ways in which you can participate: <ol><li>Linux / Mac laptop with ssh.</li><li>Any laptop and a browser. Please register on the current page to be granted access to GPUs on CERN's SWAN cluster. You will need a cernbox account, which is created once you visit<span> </span><a href="https://cernbox.cern.ch/">https://cernbox.cern.ch</a>. Note that the number of GPUs is limited.</li><li>Team programming. If the two above are not for you, we will team up and work together.</li></ol><h3 style="-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);box-sizing:inherit;color:rgb(85, 85, 85);font-family:"Roboto Light", sans-serif;font-size:1.2em;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;letter-spacing:normal;line-height:1.28571em;margin:calc(2rem - 0.142857em) 0em;orphans:2;padding:0em;text-align:start;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;"><strong>Short Speaker Bio</strong></h3><p style="-webkit-text-stroke-width:0px;background-color:rgb(255, 255, 255);box-sizing:inherit;color:rgb(119, 119, 119);font-family:Roboto, sans-serif;font-size:13.2px;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;line-height:1.4285em;margin:0em;orphans:2;text-align:start;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;">Stephan obtained a PhD in particle physics, searching for decays of the Higgs boson with the ATLAS detector. Afterwards, he worked for the ROOT project at CERN, focussing on high-throughput computing and RooFit, a package for fitting and statistical analysis of data. Now, Stephan is a computing engineer in CERN IT's innovation group, focussing on GPU computing for high-energy physics.
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Hageboeck, Stephan · CERN Document Server (European Organization for Nuclear Research) · 2022
<!--HTML--><h2>Lecture Contents</h2>\n\n<p>In this lecture, we will look into the basics of GPU computing to understand in which circumstances the usage of GPUs is beneficial for scientific computing. Using the Nvidia CUDA GPUs as examples,&nbsp;will learn how the hardware works, which guides us towards how it has to be programmed.</p>\n\n<h2><span style="color:#c0392b">Requirements</span></h2>\n\n<p>Students should have written basic C/C++ programs before, and should be familiar with pointers and arrays and/or vectors of data.</p>\n\n<p><strong>Hands on:&nbsp;</strong>We have the option to play with a few basic CUDA applications. There's three ways in which you can participate:</p>\n\n<ol>\n\t<li>Linux / Mac laptop with ssh.</li>\n\t<li>Any laptop and a browser.&nbsp;Please register on the current page&nbsp;to be granted access to GPUs on CERN's SWAN cluster. You will need a cernbox account, which is created once you visit <a href="https://cernbox.cern.ch">https://cernbox.cern.ch</a>. Note that the number of GPUs is limited.</li>\n\t<li>Team programming. If the two above are not for you, we will team up and work together.</li>\n</ol>\n\n<h3>Short Speaker Bio</h3>\n\n<p>Stephan obtained&nbsp;a PhD in particle physics, searching for decays of the Higgs boson with the ATLAS detector. Afterwards, he worked for the ROOT project at CERN, focussing on high-throughput computing&nbsp;and RooFit, a package for&nbsp;fitting and statistical analysis of data. Now, Stephan is a computing engineer in CERN IT's innovation group, focussing on GPU computing for high-energy physics.</p>
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Meinke, J., Kreutz, J., Homberg, W. et al. · JuSER (Forschungszentrum Jülich) · 2011
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Stephan Hageboeck · CERN Document Server (European Organization for Nuclear Research) · 2024
<!--HTML--><h2 style="-webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); box-sizing: inherit; color: rgb(85, 85, 85); font-family: 'Roboto Light', sans-serif; font-size: 1.6em; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; letter-spacing: normal; line-height: 1.28571em; margin: 0em 0em 1rem; orphans: 2; padding: 0em; text-align: start; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;"><strong>Abstract</strong></h2> <p style="-webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); box-sizing: inherit; color: rgb(119, 119, 119); font-family: Roboto, sans-serif; font-size: 13.2px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; letter-spacing: normal; line-height: 1.4285em; margin: 0em 0em 1em; orphans: 2; text-align: start; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;">In this lecture, we will look into the basics of GPU computing to understand in which circumstances the usage of GPUs is beneficial for scientific computing. Using the Nvidia CUDA GPUs as examples, will learn how the hardware works, which guides us towards how it has to be programmed. <h2 style="-webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); box-sizing: inherit; color: rgb(85, 85, 85); font-family: 'Roboto Light', sans-serif; font-size: 1.6em; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; letter-spacing: normal; line-height: 1.28571em; margin: calc(2rem - 0.142857em) 0em; orphans: 2; padding: 0em; text-align: start; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;"><span style="color: rgb(192,57,43);"><span style="box-sizing: inherit;"><strong>Requirements</strong></span></span></h2> <p style="-webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); box-sizing: inherit; color: rgb(119, 119, 119); font-family: Roboto, sans-serif; font-size: 13.2px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; letter-spacing: normal; line-height: 1.4285em; margin: 0em 0em 1em; orphans: 2; text-align: start; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;">Students should have written basic C/C++ programs before, and should be familiar with pointers and arrays and/or vectors of data. <p style="-webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); box-sizing: inherit; color: rgb(119, 119, 119); font-family: Roboto, sans-serif; font-size: 13.2px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; letter-spacing: normal; line-height: 1.4285em; margin: 0em 0em 1em; orphans: 2; text-align: start; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;"><strong>Hands on: </strong>We have the option to play with a few basic CUDA applications. There's three ways in which you can participate: <ol> <li>Linux / Mac laptop with ssh.</li> <li>Any laptop and a browser using SWAN. <ul> <li><span style="color: rgba(0, 0, 0, 0.87);">Please create a cernbox if you haven’t done so. After logging in to CERN, just visit </span><a href="https://cernbox.cern.ch/">https://cernbox.cern.ch</a><span style="color: rgba(0, 0, 0, 0.87);">, and it will be created automatically.</span></li> <li><span style="color: rgba(0, 0, 0, 0.87);">Then, register at </span><a href="https://e-groups.cern.ch/e-groups/EgroupsSubscription.do?egroupName=openlab-gpu-lecture24">https://e-groups.cern.ch/e-groups/EgroupsSubscription.do?egroupName=openlab-gpu-lecture24</a></li> <li><strong style="color: rgba(0, 0, 0, 0.87);">This has to be done one day before the hands-on</strong><span style="color: rgba(0, 0, 0, 0.87);"> </span></li> </ul> </li> <li>Team programming. If the two above are not for you, we will team up and work together.</li> </ol> <h2><strong>Bio</strong></h2> <p style="-webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); box-sizing: inherit; color: rgb(119, 119, 119); font-family: Roboto, sans-serif; font-size: 13.2px; font-style: normal; font-variant-caps: normal; font-variant-ligatures: normal; font-weight: 400; letter-spacing: normal; line-height: 1.4285em; margin: 0em; orphans: 2; text-align: start; text-decoration-color: initial; text-decoration-style: initial; text-decoration-thickness: initial; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px;">Stephan obtained a PhD in particle physics, searching for decays of the Higgs boson with the ATLAS detector. Afterwards, he worked for the ROOT project at CERN, focussing on high-throughput computing and RooFit, a package for fitting and statistical analysis of data. Now, Stephan is a computing engineer in CERN IT's innovation group, focussing on GPU computing for high-energy physics.
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Meinke, Jan, Kreutz, Jochen, Philippen, Peter et al. · JuSER (Forschungszentrum Jülich) · 2014
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Stevina Dias, Sherrin Benjamin, Lynette Lopes · 2014
The CPU, the brains of the computer is being enhanced by another part of the computer – the Graphics Processing Unit (GPU), which is its soul. GPUs are optimized for taking huge batches of data and performing the same operation repeatedly and quickly, which is not the case with PC microprocessors. A CPU combined with GPU, can deliver better system performance, price, and power. The version 2 of Microsoft’s Accelerator offers an efficient way for applications to implement array-processing operations. These operations use the parallel processing capabilities of multi-processor computers. CUDA is a parallel computing platform and programming model created by NVIDIA. CUDA provides both lower and a higher level APIs.
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qcvneckuz · Zenodo (CERN European Organization for Nuclear Research) · 2024
&lt;pre&gt;&lt;code&gt;\n&lt;p&gt;&lt;strong&gt;gpu programming pdf&lt;/strong&gt;&lt;br&gt;&lt;/p&gt;\n&lt;p&gt;Rating: 4.5 / 5 (2323 votes)&lt;br&gt;&lt;/p&gt;\n&lt;p&gt;Downloads: 14477&lt;br&gt;&lt;br&gt;&lt;/p&gt;\n &lt;p&gt;= = = = = \n&lt;strong&gt;&lt;a href="https://tds11111.com/21Nr9y?keyword=gpu programming pdf" target="_blank"&gt;CLICK HERE TO DOWNLOAD&lt;/a&gt;&lt;/strong&gt;\n = = = = = &lt;br&gt;&lt;br&gt;&lt;/p&gt;\n&lt;p&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;/p&gt;\n&lt;p&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;/p&gt;\n&lt;p&gt;&lt;br&gt;&lt;br&gt;Buy now. After a concise introduction to the CUDA platform and architecture, as well as a quick-start guide to CUDA C, the book details the Use libraries such as cuFFT, cuBLAS, and cuSolver. Debug and profile your How to run code on a GPU (prior to) Let's say a user wants to draw a picture using a GPUApplication (via graphics driver) provides GPU shader program binaries -Application sets graphics pipeline parameters (e.g., output image size) -Application provides GPU a bu#er of vertices -Application sends GPU a "draw" command Understanding the information in this guide will help you to write better graphical applications. GPU's higher performance and energy efficiency are due to computer scientists from various fields started using GPUs to accelerate a range of scientific applications. QAA65S 75—dc22 CUDA by Example, written by two senior members of the CUDA software platform team, shows programmers how to employ this new technology. Quick Links. The authors introduce each area of CUDA development through working examples. This book introduces you to programming in CUDA C by providing examples and insight into the process of GPU PROGRAMMING WITH STANDARD C++GPU C++ PROGRAMMING TODAY KOKKOSpragmas Language Extensions LibrariesC++PARALLEL CUDA by Example: An Introduction to General-Purpose GPU Programming. This document is organized in the following way: Chapter 1(this chapter) Tags programming the massively parallel accelerators in recent years. Includes index. Chapterexplains how to optimize your application by finding and addressing common bottlenecks Expose GPU computing for general purpose Retain performance CUDA C/C++ Based on industry-standard C/C++ Small set of extensions to enable heterogeneous programming Straightforward APIs to manage devices, memory etc. x as much performance per watt. GPU computing is the term CS Introduction to GPU Programming. Write effective and efficient GPU kernels and device functions. p. This session introduces CUDA C/C++ 5 THE FUTURE OF GPU C++ PROGRAMMING Standard C++ Directives CUDA Maximize GPU Performance with CUDA C++ GPU Accelerated Standard C++ Incremental Performance CUDA by example: an introduction to general-purpose GPU programming Jason Sanders, Edward Kandrot. ISBN (pbkalk. Images: Cost and energy-efficiencyx as much performance per dollar. GPU programming required the use of graphics APIs such as Launch GPU code directly from Python. paper)Application software—DevelopmentComputer architectureParallel programming (Computer science) I. Kandrot, Edward. Understanding the information in this guide will help you to write better graphical applications. Read a sample chapter online.pdf) Download source code for the books Maximum number of threads per block count is usually or depending on the machine Maximum number of blocks per grid is usually If you go over either of applications, the programming model for more general computing must express the massive parallelism directly, but allow for scalable execution. This document is organized in the following way: Chapter 1(this chapter) gives a brief overview of the document's contents. II. Title. cm. LectureIntroduction.&lt;/p&gt;&lt;/code&gt;&lt;/pre&gt;
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Tor Dokken · Duo Research Archive (University of Oslo) · 2007
The evolution from single core CPUs to heterogeneous computing.&nbsp;Activities in SINTEF ICT related to heterogeneous computing within:Geometry processingLinear algebraPartial differential equationsVisualizationImage processing
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Gregory Ruetsch, Massimiliano Fatica · Elsevier eBooks · 2024
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Massimiliano Fatica, Gregory Ruetsch · Elsevier eBooks · 2013
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