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GPU Accelerated Strong and Branching Bisimilarity Checking

Anton Wijs

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Tags: Algorithms, Computer science, CUDA, nVidia, Package, Tesla K20

April 8, 2015 by hgpu

clRNG: A Random Number API with Multiple Streams for OpenCL

Pierre L'Ecuyer, David Munger, Nabil Kemerchou

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Tags: Algorithms, AMD Radeon R7 240, ATI, ATI Radeon HD 7970, Computer science, OpenCL, Pseudo-random number generators

April 7, 2015 by hgpu

Reduction of a Symmetrical Matrix to Tridiagonal Form on GPUs

Shuotian Chen

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Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, Tesla C2050, Tesla M2090, Thesis

April 4, 2015 by hgpu

An Effective Model of CPU/GPU Collaborative Computing in GPU Clusters

Yue Gu, Jian-Hua Gu, Xing-She Zhou

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Tags: Algorithms, Computer science, CUDA, GPU cluster, nVidia, Tesla C2050

April 4, 2015 by hgpu

Using OpenCL to Implement Median Filtering and RSA Algorithms: Two GPGPU Application Case Studies

Lukas Gillsjo

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Tags: Algorithms, ATI, ATI Radeon R9 280X, Computer science, Filtering, Image processing, nVidia, OpenCL, RSA, Security, Tesla M2050, Thesis

April 4, 2015 by hgpu

Face Retriever: Pre-filtering the Gallery via Deep Neural Net

Dayong Wang, Anil K. Jain

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Tags: Algorithms, Computer science, Computer vision, CUDA, Deep learning, Filtering, Machine learning, Neural networks, nVidia, Tesla K20

March 30, 2015 by hgpu

Parallelization, Scalability, and Reproducibility in Next-Generation Sequencing Analysis

Johannes Koster

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Tags: Algorithms, Bayesian, Bioinformatics, Biology, Filtering, Next-Generation sequencing, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 780, OpenCL, Package, Thesis

March 23, 2015 by hgpu

Curracurrong: a stream processing system for distributed environments

Vasvi Kakkad

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Tags: Algorithms, Computer science, CUDA, OpenCL, Thesis

March 23, 2015 by hgpu

Massively Parallel Construction of the Cell Graph

Krzysztof Kaczmarski, Pawel Rzazewski, Albert Wolant

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Tags: Algorithms, Computer science, CUDA, nVidia, Robotics, Tesla K40

March 23, 2015 by hgpu

Single stream parallelization of generalized LSTM-like RNNs on a GPU

Kyuyeon Hwang, Wonyong Sung

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Tags: Algorithms, Computer science, CUDA, Machine learning, Neural and Evolutionary Computing, Neural networks, nVidia, Tesla K40

March 22, 2015 by hgpu

CSR5: An Efficient Storage Format for Cross-Platform Sparse Matrix-Vector Multiplication

Weifeng Liu, Brian Vinter

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Tags: Algorithms, AMD Radeon R9 290X, Benchmarking, Computer science, CUDA, Intel Xeon Phi, Mathematical Software, nVidia, nVidia GeForce GTX 980, OpenCL, Package, Performance, Sparse matrix

March 20, 2015 by hgpu

On learning optimized reaction diffusion processes for effective image restoration

Yunjin Chen, Wei Yu, Thomas Pock

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

March 20, 2015 by hgpu

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

A Performance Portable Matrix Free Dense MTTKRP in GenTen

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

Accelerating cosmological simulations on GPUs: a portable approach using OpenMP

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

ConCuR: Conciseness Makes State-of-the-Art Kernel Generation

VibeCodeHPC - Multi Agentic Vibe Coding for HPC

VibeCodeHPC: An Agent-Based Iterative Prompting Auto-Tuner for HPC Code Generation Using LLMs

Compile-Time Resource Safety for GPU APIs: A Low-Overhead Typestate Framework

exa-AMD: Exascale Accelerated Materials Discovery

exa-AMD: An Exascale-Ready Framework for Accelerating the Discovery and Design of Functional Materials

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high performance computing on graphics processing units: hgpu.org

Programming

GPU Accelerated Strong and Branching Bisimilarity Checking

clRNG: A Random Number API with Multiple Streams for OpenCL

Reduction of a Symmetrical Matrix to Tridiagonal Form on GPUs

An Effective Model of CPU/GPU Collaborative Computing in GPU Clusters

Using OpenCL to Implement Median Filtering and RSA Algorithms: Two GPGPU Application Case Studies

Face Retriever: Pre-filtering the Gallery via Deep Neural Net

Parallelization, Scalability, and Reproducibility in Next-Generation Sequencing Analysis

Curracurrong: a stream processing system for distributed environments

Massively Parallel Construction of the Cell Graph

Single stream parallelization of generalized LSTM-like RNNs on a GPU

CSR5: An Efficient Storage Format for Cross-Platform Sparse Matrix-Vector Multiplication

On learning optimized reaction diffusion processes for effective image restoration

Recent source codes

Kernel Library for LLM Serving

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

VibeCodeHPC - Multi Agentic Vibe Coding for HPC

Compile-Time Resource Safety for GPU APIs: A Low-Overhead Typestate Framework

exa-AMD: Exascale Accelerated Materials Discovery

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