[PDF] EigenCFA: Accelerating Flow Analysis with GPUs - Matt Might
matt.might.net › prabhu2011eigencfa
To develop EigenCFA, we imagined the GPU as a platform for accelerating non-branching, data-parallel algorithms composed entirely of linear-algebra operations.
Abstract. We describe, implement and benchmark EigenCFA, an algorithm for accelerating higher-order control-flow analysis (specifically, 0CFA) with a GPU.
We describe, implement and benchmark EigenCFA, an algorithm for accelerating higher-order control-flow analysis (specifically, 0CFA) with a GPU.
EigenCFA, an algorithm for accelerating higher-order control-flow analysis (specifically, 0CFA) with a GPU, is described, implemented and benchmarked, ...
Oct 26, 2014 · We began our investigation with the view that GPUs accelerate high-arithmetic, data-parallel computations with a poor tolerance for branching.
Oct 22, 2024 · Abstract. We describe, implement and benchmark EigenCFA, an algorithm for accelerating higher-order control-flow analysis (specifically, 0CFA) ...
Bibliographic details on EigenCFA: accelerating flow analysis with GPUs.
We describe, implement and benchmark EigenCFA, an algorithm for accelerating higher-order control-flow analysis (specifically, 0CFA) with a GPU. Ultimately, our ...
Oct 22, 2024 · We describe, implement and benchmark EigenCFA, an algorithm for accelerating higher-order control-flow analysis (specifically, 0CFA) with a GPU.
EigenCFA: Accelerating flow analysis with GPUs. T Prabhu, S Ramalingam, M Might, M Hall. ACM SIGPLAN Notices 46 (1), 511-522, 2011. 80, 2011. A new learning ...