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About 9,254 papers for “Addressing mode”

Abstract Addressing Mode Selection in GCC

Naveen Sharma · 2008

GCC has no formal addressing mode selection mechanism. It uses target hooks to generate valid addressing modes for a target. However, a significant amount of high level information is destroyed while doing this, especially for targets lacking a rich set of addressing modes. This leads to poor aliasing, and subsequently poorer CSE, GCSE, and scheduling. Hence, an unoptimal object code. This paper proposes an abstraction over RTL to generate machine independent addressing modes to achieve better aliasing. The actual addressing modes of the target are exposed after the first scheduling pass, where they are selected based on current execution scenario. Inter block address inheritance is also done at this point. The idea can be extended to specify a general “mid-level ” RTL for GCC.

Cited by 0

Addressing key challenges in transportation mode electrification

Curran Crawford, Anaissia Franca, John Jankowski-Walsh Daniel Clancy et al. · 2016

Vehicle electrification offers a tremendous potential for greenhouse gas (GHG) reductions in transportation in BC, which account for 24% of total provincial emissions. Battery and drivetrain developments have enabled personal electric vehicles (EVs) to start to penetrate the market, but there remain large opportunities in other parts of the transportation sector. The program of research described in this paper is directed toward exploring these additional opportunities. Bus fleets, and other commercial fleets, present unique challenges and opportunities compared to personal EVs and are being explored in concert with fleet operators. E-bikes enable personal mobility and may also afford health co-benefits that can offer overall financial benefits useful in shaping policy. Comparison between battery-electric and fuel-cell electrified drivetrains is also important to understand the overall round-trip and life-cycle relative efficiencies. These studies are all embedded in a number of modeling frameworks that enable studies of grid-interactions of the vehicles with the grid, in particular taking into account temporally and spatially varying GHG intensities, inter-jurisdictional trading, stochastic planning and operation, and demand response (DR) opportunities. The research is ongoing, so the current paper highlights expected impacts and contributions of the various lines of investigation.

Cited by 2

An extended addressing mode for low power

Atul Kalambur, M.J. Irwin · 1997

This paper demonstrates the feasibility of a register-memory addressing mode in microprocessors targeted for low power applications. Using a high level power profiling tool that performs software energy evaluation, the major sources of power dissipation in a typical RISC processor are identified. It is shown that the addition of a register-memory addressing mode can target these hot-spots and provide power savings. Two different implementation options are considered and the power-performance trade-offs are evaluated. The reduction in performance is cushioned by the reduced instruction count and it is anticipated that the overall impact on the total execution time of programs will be acceptable in low power application domains.

Cited by 25

Predominant-Mode Inversion of Surface Waves: Inherently Addressing Inconspicuous Low Frequency Mode Jumps

Bhaumik, Mrinal, Cox, Brady R. · ArXiv.org · 2025

Inversion of Rayleigh-wave dispersion data is particularly challenging at sites with strong impedance contrasts, where modal energy often transitions smoothly from the fundamental to higher modes at low frequencies. Analysts may misinterpret this transition as a continuation of the fundamental mode, leading to an overestimation of shear-wave velocity (Vs) in deeper layers and/or a misinterpretation of bedrock depth. Although effective-mode inversion can theoretically account for such behavior, it requires precise source-receiver geometry and cannot be applied when target dispersion data are formed by combining multiple active shots with passive-array recordings that have unknown source locations. This study introduces a predominant-mode inversion framework that addresses low-frequency mode jumps by automatically identifying, at each frequency, the Rayleigh-wave mode with the maximum vertical surface amplitude. This enables inversion without explicit mode indexing or assumptions about fundamental-mode dominance. The predominant-mode forward model is derived and implemented using the thin-layer method. The forward model is integrated into a particle-swarm-optimization global search algorithm and applied to invert three synthetic models exhibiting low-frequency mode jumps, using multiple layering parameterizations. Across all cases, the predominant-mode method accurately recovers major velocity contrasts and interface depths, whereas fundamental-mode inversions consistently overestimate Vs and mislocate deeper boundaries. The method is further validated using real field data from active and passive surface-wave measurements at the I15 Downhole Array Site. Inverted Vs profiles show strong agreement with downhole PS logs and with empirical transfer functions. Overall, the predominant-mode framework provides a robust approach for surface-wave inversion at sites with strong impedance contrasts.

Cited by 0Open access

Predominant-Mode Inversion of Surface Waves: Inherently Addressing Inconspicuous Low Frequency Mode Jumps

Bhaumik, Mrinal, Cox, Brady R. · arXiv (Cornell University) · 2025

Inversion of Rayleigh-wave dispersion data is particularly challenging at sites with strong impedance contrasts, where modal energy often transitions smoothly from the fundamental to higher modes at low frequencies. Analysts may misinterpret this transition as a continuation of the fundamental mode, leading to an overestimation of shear-wave velocity (Vs) in deeper layers and/or a misinterpretation of bedrock depth. Although effective-mode inversion can theoretically account for such behavior, it requires precise source-receiver geometry and cannot be applied when target dispersion data are formed by combining multiple active shots with passive-array recordings that have unknown source locations. This study introduces a predominant-mode inversion framework that addresses low-frequency mode jumps by automatically identifying, at each frequency, the Rayleigh-wave mode with the maximum vertical surface amplitude. This enables inversion without explicit mode indexing or assumptions about fundamental-mode dominance. The predominant-mode forward model is derived and implemented using the thin-layer method. The forward model is integrated into a particle-swarm-optimization global search algorithm and applied to invert three synthetic models exhibiting low-frequency mode jumps, using multiple layering parameterizations. Across all cases, the predominant-mode method accurately recovers major velocity contrasts and interface depths, whereas fundamental-mode inversions consistently overestimate Vs and mislocate deeper boundaries. The method is further validated using real field data from active and passive surface-wave measurements at the I15 Downhole Array Site. Inverted Vs profiles show strong agreement with downhole PS logs and with empirical transfer functions. Overall, the predominant-mode framework provides a robust approach for surface-wave inversion at sites with strong impedance contrasts.

Cited by 0Open access

Implementing dynamic implied addressing mode for multi-output instructions

Jonghee M. Youn, Jongwon Lee, Yunheung Paek et al. · 2010

The ever-increasing demand for faster execution time, smaller resource usage and lower energy consumption has compelled architects of embedded processors to adopt more specialized hardware features with irregular data paths and heterogeneous registers that are customized to the needs of their target applications. These processors consequently provide a rich set of specialized instructions in order to enable programmers to access these features. Such an instruction is typically a multi-output instruction (MOI), which outputs multiple results parallely in order to exploit inherent underlying hardware parallelism. Earlier study has exhibited that MOIs help to enhance performance in aspect of instruction counts and code size. However, as MOIs require more operands, they tend to increase not only the size of the instruction set but also the size of individual instructions. This can be a serious setback for embedded processors, which are mostly subject to strong resource limitations (particularly in this case, limited instruction encoding space). For this reason, these processors are often allowed to include only a very small subset of the total desired MOIs in their instruction sets, despite there can be sufficient silicon real estate to accommodate these specialized MOIs. To attack this problem, we introduce a novel instruction encoding scheme based on the dynamic implied addressing mode (DIAM). In this paper, we will discuss how we have overcome the encoding space problem for our target embedded processor whose instruction set has been augmented with a variety of MOIs. Our DIAM-based encoding scheme employs a small on-chip buffer to supplement extra encoding information for MOIs at run time. The empirical results are promising: the scheme allows us to encode many more MOIs for our processor; thereby helping us to achieve considerable reduction of code size as well as running time after the DIAM is additively implemented in the original architecture.

Cited by 2

Addressing mode driven low power data caches for embedded processors

Ramesh Peri, John Fernando, R.K. Kolagotla · 2004

The size and speed of first-level caches and SRAMs of embedded processors continue to increase in response to demands for higher performance. In power-sensitive devices like PDAs and cellular handsets, decreasing power consumption while increasing performance is desirable. Contemporary caches typically exploit locality in memory access patterns but do not exploit locality information encoded in addressing modes used to access memory. We present two schemes that use locality information inherent in memory addressing modes to reduce power consumption of cache or SRAM nearest to the processor. The level-0 data buffer scheme introduces a set of data buffers controlled by the addressing mode to eliminate over a third of all reads to the next level of memory (cache or SRAM). These buffers can also reduce load-use penalty in processors with long load pipelines. The address register tag-buffer scheme exploits the addressing mode to reduce tag array look-up in set associative first-level caches.

Cited by 0

Towards THz spectro-imaging in reflection mode: addressing security challenges

S. Joly, Maher Hamdi, Alexis Cailly et al. · 2024

This work describes the promising approach for the detection and identification of hazardous materials, by using the THz spectro-imaging method in reflection mode. A demonstration is proposed using a specific signature of an explosive (RDX) in the sub-THz range. The availability of cameras combined with tunable electronic sources, makes it possible to detect and identify an object thanks to its spectral reflectivity dependency.

Cited by 1

Learning on One Mode: Addressing Multi-modality in Offline Reinforcement Learning

Mianchu Wang, Yue Jin, Giovanni Montana · arXiv (Cornell University) · 2024

Offline reinforcement learning (RL) seeks to learn optimal policies from static datasets without interacting with the environment. A common challenge is handling multi-modal action distributions, where multiple behaviours are represented in the data. Existing methods often assume unimodal behaviour policies, leading to suboptimal performance when this assumption is violated. We propose weighted imitation Learning on One Mode (LOM), a novel approach that focuses on learning from a single, promising mode of the behaviour policy. By using a Gaussian mixture model to identify modes and selecting the best mode based on expected returns, LOM avoids the pitfalls of averaging over conflicting actions. Theoretically, we show that LOM improves performance while maintaining simplicity in policy learning. Empirically, LOM outperforms existing methods on standard D4RL benchmarks and demonstrates its effectiveness in complex, multi-modal scenarios.

Cited by 1Open access

Addressing and Manipulation of Localized Structures in Passively Mode-Locked Semiconductor Lasers

P. Camelin, M. Marconi, S. Balle et al. · 2018

Temporal Localized Structures are short pulses travelling back and forth in a nonlinear cavity which can be individually addressed and manipulated. Hence, they can be used as fundamental information bits, thus enabling data buffering and processing. They can also be used for generating arbitrary patterns of picosecond laser pulses at arbitrary low rate. In this contribution we review the results obtained in Vertical Cavity Surface-Emitting Lasers coupled to an external Saturable Absorber Mirror.

Cited by 0