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SYCL-Bench: A Versatile Cross-Platform Benchmark Suite for Heterogeneous Computing

Sohan Lal, Aksel Alpay, Philip Salzmann, Biagio Cosenza, Alexander Hirsch, Nicolai Stawinoga, Peter Thoman, Thomas Fahringer, Vincent Heuveline

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Tags: Benchmarking, Computer science, FPGA, Heterogeneous systems, nVidia, nVidia GeForce GTX Titan X, OpenCL, Package, Performance, PTX, SYCL

July 5, 2020 by hgpu

Automatic Kernel Generation for Volta Tensor Cores

Somashekaracharya G. Bhaskaracharya, Julien Demouth, Vinod Grover

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Tags: Compilers, Computer science, CUBLAS, CUDA, Deep learning, Matrix multiplication, nVidia, nVidia Quadro GV100, Performance, Programming Languages, PTX

June 28, 2020 by hgpu

GEVO: GPU Code Optimization using Evolutionary Computation

Jhe-Yu Liou, Xiaodong Wang, Stephanie Forrest, Carole-Jean Wu

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Tags: Computer science, CUDA, Evolutionary Computations, Machine learning, Neural and Evolutionary Computing, nVidia, Package, PTX, Tesla P100

April 26, 2020 by hgpu

Verified Instruction-Level Energy Consumption Measurement for NVIDIA GPUs

Yehia Arafa, Ammar ElWazir, Abdelrahman ElKanishy, Youssef Aly, Ayatelrahman Elsayed, Abdel-Hameed Badawy, Gopinath Chennupati, Stephan Eidenbenz, Nandakishore Santhi

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Tags: Computer science, CUDA, Energy-efficient computing, Measurement techniques, nVidia, nVidia GeForce GTX 1080 Ti, nVidia GeForce GTX Titan V, nVidia GeForce GTX Titan X, nVidia Titan RTX, PTX

February 23, 2020 by hgpu

Instructions’ Latencies Characterization for NVIDIA GPGPUs

Yehia Arafa, Abdel-Hameed Badawy, Gopinath Chennupati, Nandakishore Santhi, Stephan Eidenbenz

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Tags: Benchmarking, Computer science, CUDA, nVidia, nVidia GeForce GTX Titan X, nVidia Titan RTX, Performance, PTX, Tesla K40, Tesla P100, Tesla V100

May 23, 2019 by hgpu

CUDA au Coq: A Framework for Machine-validating GPU Assembly Programs

Benjamin Ferrell, Jun Duan, Kevin W. Hamlen

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Tags: Algorithms, Compilers, Computer science, CUDA, nVidia, PTX

May 15, 2019 by hgpu

Dissecting the NVidia Turing T4 GPU via Microbenchmarking

Zhe Jia, Marco Maggioni, Jeffrey Smith, Daniele Paolo Scarpazza

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Tags: Benchmarking, Computer science, CUDA, Deep learning, nVidia, Performance, PTX, Tesla P100, Tesla V100

March 24, 2019 by hgpu

Improving OpenCL Performance by Specializing Compiler Phase Selection and Ordering

Ricardo Nobre, Luis Reis, Joao M. P. Cardoso

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Tags: Computer science, nVidia, nVidia GeForce GTX 1070, OpenCL, Performance, PTX

October 28, 2018 by hgpu

Multidimensional Parallelization for Streaming Text Processing Applications Based on Parabix Framework

Dan Lin

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Tags: Algorithms, Computer science, Data parallelism, LLVM, nVidia, nVidia GeForce GTX 950, Package, PTX, Thesis

April 28, 2018 by hgpu

Dissecting the NVIDIA Volta GPU Architecture via Microbenchmarking

Zhe Jia, Marco Maggioni, Benjamin Staiger, Daniele P. Scarpazza

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Tags: Benchmarking, Computer science, CUDA, nVidia, Performance, PTX, Tesla V100

April 22, 2018 by hgpu

Technical Report about Tiramisu: a Three-Layered Abstraction for Hiding Hardware Complexity from DSL Compilers

Riyadh Baghdadi, Jessica Ray, Malek Ben Romdhane, Emanuele Del Sozzo, Patricia Suriana, Shoaib Kamil, Saman Amarasinghe

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Tags: Compilers, Computer science, DSL, FPGA, Matrix multiplication, nVidia, OpenMPI, Performance, Programming Languages, PTX, Tesla K40

March 3, 2018 by hgpu

Input-Aware Auto-Tuning of Compute-Bound HPC Kernels

Philippe Tillet, David Cox

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Tags: Auto-Tuning, Computer science, CUDA, Deep learning, nVidia, nVidia GeForce GTX 980 Ti, OpenCL, Package, Performance, PTX, Tesla P100

February 17, 2018 by hgpu

Accelerating Sparse Matrix-Matrix Multiplication with GPU Tensor Cores

Heterogeneous parallel computing for image registration and linear algebra applications

Ignite-GPU: a GPU-enabled in-memory computing architecture on clusters

PERCH 2.0: Fast and High-Quality GPU-based Perception via Search for Object Pose Estimation

PERCH 2.0: Fast and Accurate GPU-based Perception via Search for Object Pose Estimation

AnyHLS: High-Level Synthesis with Partial Evaluation

Futhark

Bounds Checking on GPU

OpenSBLI: Automated code-generation for heterogeneous computing architectures applied to compressible fluid dynamics on structured grids

Stanza: A Python NLP Library for Many Human Languages

Biomedical and Clinical English Model Packages in the Stanza Python NLP Library

Benchmark for sparse-dense matrix multiplications

Optimizing Block-Sparse Matrix Multiplications on CUDA with TVM

Darknet on OpenCL: a multi-platform tool for object detection and classification

3DES on Nvidia GPUs

Bit-level Parallelization of 3DES Encryption on GPU

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high performance computing on graphics processing units: hgpu.org

SYCL-Bench: A Versatile Cross-Platform Benchmark Suite for Heterogeneous Computing

Automatic Kernel Generation for Volta Tensor Cores

GEVO: GPU Code Optimization using Evolutionary Computation

Verified Instruction-Level Energy Consumption Measurement for NVIDIA GPUs

Instructions’ Latencies Characterization for NVIDIA GPGPUs

CUDA au Coq: A Framework for Machine-validating GPU Assembly Programs

Dissecting the NVidia Turing T4 GPU via Microbenchmarking

Improving OpenCL Performance by Specializing Compiler Phase Selection and Ordering

Multidimensional Parallelization for Streaming Text Processing Applications Based on Parabix Framework

Dissecting the NVIDIA Volta GPU Architecture via Microbenchmarking

Technical Report about Tiramisu: a Three-Layered Abstraction for Hiding Hardware Complexity from DSL Compilers

Input-Aware Auto-Tuning of Compute-Bound HPC Kernels

Recent source codes

Accelerating Sparse Matrix-Matrix Multiplication with GPU Tensor Cores

Ignite-GPU: a GPU-enabled in-memory computing architecture on clusters

PERCH 2.0: Fast and High-Quality GPU-based Perception via Search for Object Pose Estimation

AnyHLS: High-Level Synthesis with Partial Evaluation

Futhark

OpenSBLI: Automated code-generation for heterogeneous computing architectures applied to compressible fluid dynamics on structured grids

Stanza: A Python NLP Library for Many Human Languages

Benchmark for sparse-dense matrix multiplications

Darknet on OpenCL: a multi-platform tool for object detection and classification

3DES on Nvidia GPUs

Most viewed papers (last 30 days)

Featured events

The Fifth International Workshop on GPU Computing and AI (GCA), 2020

2nd International Conference on Frontiers of Intelligent Manufacturing and Automation (CFIMA’21), 2021

International Conference on Cyber Physical Systems and IoT (CPSIOT’20), 2020

International Conference on Wireless Networks and Embedded Systems (ICWNES’20), 2020

International Joint Conference on Signals, Systems and Computers (CSSC’20), 2020