article · Minds at UW (University of Wisconsin) · 1993
Tetra: Evaluation of Serial Program Performance on Fine-Grain Parallel Processors
Austin, Todd M, Sohi, Gurindar S
Cited by 3Open access
Abstract
Tetra is a tool for evaluating serial program performance under the resource and control constraints of fine-grain parallel processors. Tetra's primary advantage to the architect is its ability to quickly generate performance metrics for yet to be designed architectures. All the user needs to specify is the capabilities of the architecture (e.g., number of functional units, issue model, etc.), rather than its implementation. Tetra first extracts a canonical form of the program from a serial instruction trace. It then applies control and resource constraint scheduling to produce an execution graph. The control and resource constraint scheduling is directed by a processor model specification supplied to the program. Once scheduled, Tetra provides a number of ways to analyze the program's performance under the specified processor model. These include parallelism profiles, storage demand profiles, data sharing distributions, data lifetime analysis, and control distance (branch, loop, and ...
Cite this paper
Austin, T. M., & Sohi, G. S. (1993). Tetra: Evaluation of Serial Program Performance on Fine-Grain Parallel Processors. Minds at UW (University of Wisconsin).
Austin, Todd M, and Gurindar S Sohi. “Tetra: Evaluation of Serial Program Performance on Fine-Grain Parallel Processors.” Minds at UW (University of Wisconsin), 1993.
Austin, Todd M, and Gurindar S Sohi. 1993. “Tetra: Evaluation of Serial Program Performance on Fine-Grain Parallel Processors.” Minds at UW (University of Wisconsin).
Austin, T.M. and Sohi, G.S. (1993) ‘Tetra: Evaluation of Serial Program Performance on Fine-Grain Parallel Processors’, Minds at UW (University of Wisconsin).
@article{austin1993tetra,
title = {{Tetra: Evaluation of Serial Program Performance on Fine-Grain Parallel Processors}},
author = {Austin, Todd M and Sohi, Gurindar S},
journal = {Minds at UW (University of Wisconsin)},
year = {1993}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.