Publication date
July 2021
DOIAbstract
This is the artifact of our paper "Efficient Tensor Core-Based GPU Kernels for Structured Sparsity under Reduced Precision" accepted in SC2
This is the artifact of our paper "Efficient Tensor Core-Based GPU Kernels for Structured Sparsity under Reduced Precision" accepted in SC2
Artifact for accepted OSDI'23 paper, Yuke Wang, et al. MGG: Accelerating Graph Neural Networks with ...
This artifact is concerned with Section 6 (Scalability) of the Paper "PhASAR: An Inter-Procedural St...
Artifact submission of the regular paper: A GPU Tree Database for Many-Core Explicit State Space Exp...
First artifact release. Includes the source code to reproduce Figures 8, 9, and 10 in the paper TeAA...
Artifact for USENIX ATC'23: TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs
The artifact to reproduce the results of the paper "Matching linear algebra and tensor code to speci...
This is an artifact for the CGO'23 paper titled "Parsimony: Enabling SIMD/Vector Programming in Stan...
The artifact of the CAV 2021 paper entitled "Checking Data-Race Freedom of GPU Kernels, Compositiona...
Artifact for the ISSTA 2023 paper "GPUHarbor: Testing GPU Memory Consistency At Large (Experience Pa...
This document is the artifact description of the paper entitled “Apollo: Automatic Partition-based O...
This is the research artifact for the SC23 paper "Unified Communication Optimization Strategies for ...
This artifact includes all code and scripts to reproduce the result of our paper: Automatic Horizont...
Automatic Generation of Distributed-Memory Mappings for Tensor Computations - SC23 Artifact.This wor...
This artifact accompanies the paper titled 'Maximal Quantified Precondition Synthesis for Linear Arr...
This artifact is concerned with Section 5 (Evaluation) of the paper "Accelerating Nested Data Parall...
Artifact for accepted OSDI'23 paper, Yuke Wang, et al. MGG: Accelerating Graph Neural Networks with ...
This artifact is concerned with Section 6 (Scalability) of the Paper "PhASAR: An Inter-Procedural St...
Artifact submission of the regular paper: A GPU Tree Database for Many-Core Explicit State Space Exp...
First artifact release. Includes the source code to reproduce Figures 8, 9, and 10 in the paper TeAA...
Artifact for USENIX ATC'23: TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs
The artifact to reproduce the results of the paper "Matching linear algebra and tensor code to speci...
This is an artifact for the CGO'23 paper titled "Parsimony: Enabling SIMD/Vector Programming in Stan...
The artifact of the CAV 2021 paper entitled "Checking Data-Race Freedom of GPU Kernels, Compositiona...
Artifact for the ISSTA 2023 paper "GPUHarbor: Testing GPU Memory Consistency At Large (Experience Pa...
This document is the artifact description of the paper entitled “Apollo: Automatic Partition-based O...
This is the research artifact for the SC23 paper "Unified Communication Optimization Strategies for ...
This artifact includes all code and scripts to reproduce the result of our paper: Automatic Horizont...
Automatic Generation of Distributed-Memory Mappings for Tensor Computations - SC23 Artifact.This wor...
This artifact accompanies the paper titled 'Maximal Quantified Precondition Synthesis for Linear Arr...
This artifact is concerned with Section 5 (Evaluation) of the paper "Accelerating Nested Data Parall...
Artifact for accepted OSDI'23 paper, Yuke Wang, et al. MGG: Accelerating Graph Neural Networks with ...
This artifact is concerned with Section 6 (Scalability) of the Paper "PhASAR: An Inter-Procedural St...
Artifact submission of the regular paper: A GPU Tree Database for Many-Core Explicit State Space Exp...
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