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Alpha-Beta Divergences Discover Micro and Macro Structures in Data

Karthik Narayan, Ali Punjani, Pieter Abbeel

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Tags: Computer science, Computer vision, CUDA, Machine learning, nVidia, Tesla K40, Visualization

June 24, 2015 by hgpu

GPU-Friendly Local Regression for Voice Conversion

Taylor Berg-Kirkpatrick, Dan Klein

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Tags: Acoustics, CUDA, nVidia, Signal processing, Tesla K40

June 24, 2015 by hgpu

DCT-JPEG Image Coding Based on GPU

Rongyang Shan, Chengyou Wang, Wei Huang, Xiao Zhou

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Tags: Algorithms, Compression, CUDA, Image processing, nVidia, nVidia GeForce GTX 480

June 24, 2015 by hgpu

Concurrent Task Execution on the Intel Xeon Phi

Yucheng Zhu

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Tags: Bioinformatics, Biology, Computer science, CUDA, Intel Xeon Phi, nVidia, OpenMP, Sequence alignment, Smith-Waterman algorithm, Tesla K20, Thesis

June 22, 2015 by hgpu

Comparative Study of the Parallelization of the Smith-Waterman Algorithm on OpenMP and Cuda C

Amadou Chaibou, Oumarou Sie

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Tags: Bioinformatics, Biology, CUDA, nVidia, nVidia GeForce GTX 670, OpenMP, Sequence alignment, Smith-Waterman algorithm

June 22, 2015 by hgpu

Generating Efficient Tensor Contractions for GPUs

Thomas Nelson, Axel Rivera, Prasanna Balaprakash, Mary Hall, Paul D. Hovland, Elizabeth Jessup, Boyana Norris

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Tags: Algorithms, Chemistry, Computer science, CUDA, Fluid dynamics, Machine learning, nVidia, OpenACC, Optimization

June 22, 2015 by hgpu

GPU accelerated spectral finite elements on all-hex meshes

J.-F. Remacle, R. Gandham, T. Warburton

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Tags: Algorithms, Computer science, CUDA, Numerical Analysis, nVidia, nVidia GeForce GTX 980, OpenCL, Spectral elements, Tesla K40

June 22, 2015 by hgpu

Autotuning Tensor Contraction Computations on GPUs

Axel Rivera, Mary Hall, Paul D. Hovland, Elizabeth Jessup, Thomas Nelson, Boyana Norris

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Tags: Benchmarking, Code generation, Computer science, CUDA, Matrix multiplication, nVidia, OpenACC, Tesla C2050, Tesla K20

June 19, 2015 by hgpu

Study of Sparse-Matrix Vector Multiplication (SpMV) on Different Architectures and Libraries

Naveen Anand Subramaniam, Omkar Deshmukh, Vennila Megavannan, Dan Negrut

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 770, OpenCL, Performance, Sparse matrix, Tesla K20, Tesla K40

June 19, 2015 by hgpu

Bulk GCD Computation Using a GPU to Break Weak RSA Keys

Toru Fujita, Koji Nakano, Yasuaki Ito

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Tags: Algorithms, Computer science, CUDA, Factorization, nVidia, nVidia GeForce GTX 780 Ti, Security

June 19, 2015 by hgpu

Accelerated dimension-independent adaptive Metropolis

Yuxin Chen, David Keyes, Kody J.H. Law, Hatem Ltaief

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Tags: CUDA, nVidia, Probability, Statistics, Tesla K40

June 19, 2015 by hgpu

Visualization of OpenCL Application Execution on CPU-GPU Systems

Amir Kavyan Ziabari, Rafael Ubal, Dana Schaa, David Kaeli

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Tags: ARM, ATI, Computer science, CUDA, Heterogeneous systems, nVidia, OpenCL, Performance, Visualization

June 19, 2015 by hgpu

Specx: Speculative task-based runtime system

Specx: a C++ task-based runtime system for heterogeneous distributed architectures

Mutual-Supervised Learning for Sequential-to-Parallel Code Translation

KISim: Kubernetes Intelligent Scheduling Simulator

KIS-S: A GPU-Aware Kubernetes Inference Simulator with RL-Based Auto-Scaling

Hardware Compute Partitioning on NVIDIA GPUs for Composable Systems

Efficient GPU Implementation of Multi-Precision Integer Division

ParEval: A Parallel Code Evaluation Benchmark

ParEval-Repo: A Benchmark Suite for Evaluating LLMs with Repository-level HPC Translation Tasks

FlashSparse: Minimizing Computation Redundancy for Fast Sparse Matrix Multiplications on Tensor Cores

Libra: Synergizing CUDA and Tensor Cores for High-Performance Sparse Matrix Multiplication

exa-AMD: Exascale Accelerated Materials Discovery

Accelerated discovery and design of Fe-Co-Zr magnets with tunable magnetic anisotropy through machine learning and parallel computing

WiLLM: An Open Wireless LLM Communication System

Vcc: the Vulkan Clang Compiler

No More Shading Languages: Compiling C++ to Vulkan Shaders

See all packages

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high performance computing on graphics processing units: hgpu.org

Alpha-Beta Divergences Discover Micro and Macro Structures in Data

GPU-Friendly Local Regression for Voice Conversion

DCT-JPEG Image Coding Based on GPU

Concurrent Task Execution on the Intel Xeon Phi

Comparative Study of the Parallelization of the Smith-Waterman Algorithm on OpenMP and Cuda C

Generating Efficient Tensor Contractions for GPUs

GPU accelerated spectral finite elements on all-hex meshes

Autotuning Tensor Contraction Computations on GPUs

Study of Sparse-Matrix Vector Multiplication (SpMV) on Different Architectures and Libraries

Bulk GCD Computation Using a GPU to Break Weak RSA Keys

Accelerated dimension-independent adaptive Metropolis

Visualization of OpenCL Application Execution on CPU-GPU Systems

Recent source codes

Specx: Speculative task-based runtime system

Mutual-Supervised Learning for Sequential-to-Parallel Code Translation

KISim: Kubernetes Intelligent Scheduling Simulator

Hardware Compute Partitioning on NVIDIA GPUs for Composable Systems

Efficient GPU Implementation of Multi-Precision Integer Division

ParEval: A Parallel Code Evaluation Benchmark

FlashSparse: Minimizing Computation Redundancy for Fast Sparse Matrix Multiplications on Tensor Cores

exa-AMD: Exascale Accelerated Materials Discovery

WiLLM: An Open Wireless LLM Communication System

Vcc: the Vulkan Clang Compiler

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