13 citations · 17 across the 8 of their papers we have counts for
3 papers · 1 filter
Probabilistic Programming with CuPPL
Alexander Collins, Vinod Grover
Probabilistic Programming Languages (PPLs) are a powerful tool in machine learning, allowing highly expressive generative models to be expressed succinctly. They couple complex inf…
Automatic Kernel Generation for Volta Tensor Cores
Somashekaracharya G. Bhaskaracharya, Julien Demouth, Vinod Grover
A commonly occurring computation idiom in neural networks is to perform some pointwise operations on the result of a matrix multiplication. Such a sequence of operations is typical…
Fireiron: A Scheduling Language for High-Performance Linear Algebra on GPUs
Bastian Hagedorn, Archibald Samuel Elliott, Henrik Barthels +2
Achieving high-performance GPU kernels requires optimizing algorithm implementations to the targeted GPU architecture. It is of utmost importance to fully use the compute and memor…