hgyhungry

UCSBSanta Barbara

Pinned Repositories

dgSPARSE-Lib
PyTorch-Based Fast and Efficient Processing for Various Machine Learning Applications with Diverse Sparsity
Language:Cuda95 2 327
ae_mlsys_gnn
Language:Python0 1 00
alcop-artifact
Language:Python20 1 13
awesome_ai4eda
00
chisel-tutorial
chisel tutorial exercises and answers
Language:Scala0 1 00
dgSPARSE-Library
Language:Cuda50
dlsys-assignment1
Codes of assignment1 of course DLSys -18Spring @ UW http://dlsys.cs.washington.edu/
Language:Python1 2 00
ge-spmm
Language:Cuda96 3 1110
ShflBW_Sparse_NN
Language:C++15 3 21
awesome_ai4eda
254 15 031

hgyhungry's Repositories

hgyhungry/ge-spmm
Language:Cuda96 3 1110
hgyhungry/alcop-artifact
Language:Python20 1 13
hgyhungry/ShflBW_Sparse_NN
Language:C++15 3 21
hgyhungry/dgSPARSE-Library
Language:Cuda50
hgyhungry/dlsys-assignment1
Codes of assignment1 of course DLSys -18Spring @ UW http://dlsys.cs.washington.edu/
Language:Python1 2 00
hgyhungry/ae_mlsys_gnn
Language:Python0 1 00
hgyhungry/awesome_ai4eda
00
hgyhungry/chisel-tutorial
chisel tutorial exercises and answers
Language:Scala0 1 00
hgyhungry/cu_lib_helpers
Language:C++0 2 00
hgyhungry/gunrock
High-Performance Graph Primitives on GPUs
Language:Cuda1 0
hgyhungry/heterocl
HeteroCL: A Multi-Paradigm Programming Infrastructure for Software-Defined Heterogeneous Computing
Language:C++1 01
hgyhungry/hgyhungry.github.io
1
hgyhungry/TensorRT-LLM
TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.
Language:C++0 0