105 citations · 108 across the 2 of their papers we have counts for
2 papers
cs.DC2018★ 105 cited
Intel nGraph: An Intermediate Representation, Compiler, and Executor for Deep Learning
Scott Cyphers, Arjun K. Bansal, Anahita Bhiwandiwalla +18
The Deep Learning (DL) community sees many novel topologies published each year. Achieving high performance on each new topology remains challenging, as each requires some level of…
cs.PL2012★ 3 cited
Formal Semantics of Heterogeneous CUDA-C: A Modular Approach with Applications
Chris Hathhorn, Michela Becchi, William L. Harrison +1
We extend an off-the-shelf, executable formal semantics of C (Ellison and Rosu's K Framework semantics) with the core features of CUDA-C. The hybrid CPU/GPU computation model of CU…