13 citations · 15 across the 3 of their papers we have counts for
5 papers
Axon: A Language for Dynamic Shapes in Deep Learning Graphs
Alexander Collins, Vinod Grover
Axon is a language that enables shape and rank inference for tensors in a Deep Learning graphs. It aims to make shapes implicit and inferred, in a similar manner to how types are i…
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…
Automatic acceleration of Numpy applications on GPUs and multicore CPUs
Mahesh Ravishankar, Vinod Grover
Frameworks like Numpy are a popular choice for application developers from varied fields such as image processing to bio-informatics to machine learning. Numpy is often used to dev…