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Dymaxion++: A Directive-based API to Optimize Data Layout and Memory Mapping for Heterogeneous Systems

Shuai Che, Jiayuan Meng, Kevin Skadron

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Tags: ATI, ATI Radeon HD 7950, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, OpenCL

September 5, 2014 by hgpu

Analysis of KECCAK Tree Hashing on GPU Architectures

Jason Michael Lowden

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Tags: Algorithms, Computer science, CUDA, Hashing, nVidia, Security, Tesla K20, Thesis

September 4, 2014 by hgpu

Acceleration of stereo-matching on multi-core CPU and GPU

Tian Xu, Paul Cockshott, Susanne Oehler

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 770, Stereo vision

September 4, 2014 by hgpu

A uniform approach for programming distributed heterogeneous computing systems

Ivan Grasso, Simone Pellegrini, Biagio Cosenza, Thomas Fahringer

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Tags: AMD FirePro W9000, ATI, Computer science, Heterogeneous systems, Intel Xeon Phi, nVidia, OpenCL, Tesla K20

September 4, 2014 by hgpu

GPU-accelerated Database Systems: Survey and Open Challenges

Sebastian Bress, Max Heimel, Norbert Siegmund, Ladjel Bellatreche, Gunter Saake

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Tags: Computer science, CUDA, Databases, nVidia, OpenCL

September 3, 2014 by hgpu

Detection of retransmissions in 10G Ethernet using GPUs

Paula Roquero Fuentes

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Tags: Algorithms, Computer science, CUDA, nVidia, Pthreads, Security, Tesla C2075, Thesis

September 3, 2014 by hgpu

Performance Portability Study of Linear Algebra Kernels in OpenCL

Karl Rupp, Philippe Tillet, Florian Rudolf, Josef Weinbub, Tibor Grasser, Ansgar Jungel

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Tags: AMD FirePro W9000, ATI, ATI Radeon HD 5850, Computer science, Intel Xeon Phi, Linear Algebra, nVidia, nVidia GeForce GTX 285, OpenCL, Performance, Portability, Tesla K20

September 3, 2014 by hgpu

Directive-Based Compilers for GPUs

Swapnil Ghike, Ruben Gran, Maria J. Garzaran, David Padua

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Tags: Code generation, Compilers, Computer science, CUDA, nVidia, OpenACC, Tesla X2090

September 2, 2014 by hgpu

LightPlay: Efficient Replay with GPUs

Min Feng, Farzad Khorasani, Rajiv Gupta, Laxmi N. Bhuyan

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

September 2, 2014 by hgpu

Determining the difficulty of accelerating problems on a GPU

Dale Tristram, Karen Bradshaw

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Tags: Algorithms, ATI, ATI Radeon HD 7970, Computer science, OpenCL

September 2, 2014 by hgpu

Optimistic Parallelism on GPUs

Min Feng, Rajiv Gupta, Laxmi N. Bhuyan

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Tags: Computer science, CUDA, Data parallelism, nVidia, Performance, Tesla C1060

September 2, 2014 by hgpu

Optimization of Data-Parallel Scientific Applications on Highly Heterogeneous Modern HPC Platforms

Ziming Zhong

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, Matrix multiplication, Numerical simulation, nVidia, Tesla S2050, Thesis

August 27, 2014 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Dymaxion++: A Directive-based API to Optimize Data Layout and Memory Mapping for Heterogeneous Systems

Analysis of KECCAK Tree Hashing on GPU Architectures

Acceleration of stereo-matching on multi-core CPU and GPU

A uniform approach for programming distributed heterogeneous computing systems

GPU-accelerated Database Systems: Survey and Open Challenges

Detection of retransmissions in 10G Ethernet using GPUs

Performance Portability Study of Linear Algebra Kernels in OpenCL

Directive-Based Compilers for GPUs

LightPlay: Efficient Replay with GPUs

Determining the difficulty of accelerating problems on a GPU

Optimistic Parallelism on GPUs

Optimization of Data-Parallel Scientific Applications on Highly Heterogeneous Modern HPC Platforms

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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