Vivek Sarkar. Optimized Unrolling of Nested Loops. In Proceedings of the 14th ACM International Conference onSupercomputing (ICS-00), pages 153--166. ACM Press, May 2000. Home/Search Document Not in Database Summary Related Articles Check |
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Power and Energy Impact by Loop Transformations - Yang, Gao, Marquez, Cai, Hu (2000) (Correct)
....at the code generation (back end) phase, such as loop unrolling and software pipelining, and high level loop optimizations at the program analysis and transformation phase (front end) such as loop permutation, loop fusion and loop tiling, are discussed. 2. 1 Loop unrolling Loop unrolling [17]intends to increase instruction level parallelism of loop bodies by unrolling the loop body multiple times in order to schedule several loop iterations together. The transformation also reduces the number of times loop control statements are executed. 12 2 2.2 Software pipelining Software ....
Vivek Sarkar. Optimized unrolling of nested loops. In Proceedings of the
Power and Energy Impact by Loop Transformations - Yang, Gao, Marquez, Cai, Hu (2000) (Correct)
....at the code generation (back end) phase, such as loop unrolling and software pipelining, and high level loop optimizations at the program analysis and transformation phase (front end) such as loop permutation, loop fusion and loop tiling, are discussed. 2. 1 Loop unrolling Loop unrolling [17]intends to increase instruction level parallelism of loop bodies by unrolling the loop body multiple times in order to schedule several loop iterations together. The transformation also reduces the number of times loop control statements are executed. 12 2 2.2 Software pipelining Software ....
Vivek Sarkar. Optimized unrolling of nested loops. In Proceedings of the
Data Locality Enhancement by Memory Reduction - Song, Xu, Wang, Li (2001) (9 citations) (Correct)
....nest under consideration will not be fused. The heuristic then continues to select fusion candidates from the remaining loop nests. The loop nests are examined in an order such that the loops whose fusion saves memory most are considered rst. We estimate register spilling by using the approach in [22] and estimate cache misses by using the approach in [7] It may also be important to avoid performing loop fusion at too many loop levels if the corresponding loops are shifted. This is because, after loop shifting, loop fusion at too many loop levels can potentially increase the number of ....
V. Sarkar. Optimized unrolling of nested loops. In Proceedings of the ACM International Conference on Supercomputing, pages 153-166, Santa Fe, NM, May 2000.
A Machine Learning Approach to Automatic Production of.. - Monsifrot, Bodin.. (2002) (4 citations) (Correct)
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Vivek Sarkar. Optimized Unrolling of Nested Loops. In Proceedings of the 14th ACM International Conference onSupercomputing (ICS-00), pages 153--166. ACM Press, May 2000.
Improving Register Allocation for Subscripted Variables - Callahan, Carr, Kennedy (1990) (120 citations) (Correct)
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V. Sarkar. Optimized unrolling of nested loops. In Proceedings of the 2000.
Improving Data Locality by Array - Yonghong Song Rong (Correct)
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Vivek Sarkar. Optimized unrolling of nested loops. In Proceedings of the ACM International Conference on Supercomputing, pages 153--166, Santa Fe, NM, May 2000.
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