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Enabling Traceability in MDE to Improve Performance of GPU Applications

Antonio Wendell De Oliveira Rodrigues, Vincent Aranega, Anne Etien, Frederic Guyomarc'H, Jean-Luc Dekeyser

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Tags: Algorithms, Computer science, nVidia, OpenCL, Performance, Programming techniques, Tesla S1070

February 7, 2012 by hgpu

Towards High Speed Aerial Tracking of Agile Targets

Yassir Rizwan

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Tags: ATI, ATI Radeon HD 5870, Computer vision, Data acquisition, Earth and Space Sciences, OpenCL, Thesis

February 6, 2012 by hgpu

Accelerating Outlier Detection with Uncertain Data using Graphics Processors

Takazumi Matsumoto, Edward Hung

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Tags: Cluster analysis, Computer science, Data mining, Neural networks, nVidia, nVidia GeForce GT 440, OpenCL, Probability

February 5, 2012 by hgpu

Decompilation of LLVM IR

Simon Moll

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Tags: Code generation, Compilers, Computer science, GLSL, HLSL, Java, nVidia, nVidia GeForce 9600 GT, OpenCL, Optimization, Thesis

January 31, 2012 by hgpu

The Virtual OpenCL (VCL) Cluster Platform

Amnon Barak, Amnon Shiloh

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Source codes

Tags: ATI, ATI Radeon HD 6970, Computer science, Heterogeneous systems, MPI, nVidia, nVidia GeForce GTX 480, OpenCL, Operating systems, Package

January 31, 2012 by hgpu

An OpenCL implementation for the solution of TDSE on GPU and CPU architectures

Cathal O'Broin, Lampros A. A. Nikolopoulos

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Tags: Algorithms, ATI, ATI FirePro V7800, Computational Physics, Differential equations, nVidia, ODEs, OpenCL, Ordinary differential equations, Physics, Quantum Physics, Tesla S1070

January 31, 2012 by hgpu

Performance Evaluation of Query Processing Algorithms on GPGPUs

Vassil Hristov

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Tags: Algorithms, Computer science, Databases, nVidia, nVidia GeForce 9400 M, nVidia GeForce 9600 M GT, OpenCL, Thesis

January 30, 2012 by hgpu

Towards a Tunable Multi-Backend Skeleton Programming Framework for Multi-GPU Systems

Johan Enmyren, Usman Dastgeer, Christoph W. Kessler

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Tags: Code generation, Computer science, CUDA, Data parallelism, MapReduce, nVidia, nVidia GeForce GTS 250, OpenCL, Performance, Tesla C1060

January 30, 2012 by hgpu

Parallelization of Myers Fast Bit-Vector Algorithm using GPGPU

Lars Langner

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 460, OpenCL, Sequence alignment, String matching, Thesis

January 27, 2012 by hgpu

Visual Data Mining Using the Point Distribution Tensor

Marcel Ritter, Werner Benger, Biagio Cosenza, Keera Pullman, Hans Moritsch, Wolfgang Leimer

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Tags: Algorithms, Data mining, Geoscience, Image processing, nVidia, nVidia Quadro FX 3800 M, OpenCL, Visualization

January 26, 2012 by hgpu

Realtime scheduling using GPUs – proof of feasibility

Peter Fodrek, Ludovit Farkas, Tomas Murgas

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Tags: Benchmarking, Computer science, nVidia, nVidia GeForce GT 310 M, OpenCL, Task scheduling

January 25, 2012 by hgpu

GPU algorithms for comparison-based sorting and for merging based on multiway selection

Nikolaj Leischner

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Tags: Algorithms, Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 480, OpenCL, Sorting, Thesis

January 25, 2012 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

Enabling Traceability in MDE to Improve Performance of GPU Applications

Towards High Speed Aerial Tracking of Agile Targets

Accelerating Outlier Detection with Uncertain Data using Graphics Processors

Decompilation of LLVM IR

The Virtual OpenCL (VCL) Cluster Platform

An OpenCL implementation for the solution of TDSE on GPU and CPU architectures

Performance Evaluation of Query Processing Algorithms on GPGPUs

Towards a Tunable Multi-Backend Skeleton Programming Framework for Multi-GPU Systems

Parallelization of Myers Fast Bit-Vector Algorithm using GPGPU

Visual Data Mining Using the Point Distribution Tensor

Realtime scheduling using GPUs – proof of feasibility

GPU algorithms for comparison-based sorting and for merging based on multiway selection

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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