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High-Performance Spatial Join Processing on GPGPUs with Applications to Large-Scale Taxi Trip Data

Jianting Zhang, Simin You, Le Gruenwald

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Tags: Computer science, CUDA, Databases, Filtering, Nearest neighbour, nVidia, nVidia Quadro FX 6000

July 27, 2012 by hgpu

Using OpenGL State History for Graphics Debugging

Bryce Van Dyk

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Tags: Computer science, OpenGL, Thesis

July 27, 2012 by hgpu

SnuCL: an OpenCL framework for heterogeneous CPU/GPU clusters

Jungwon Kim, Sangmin Seo, Jun Lee, Jeongho Nah, Gangwon Jo, Jaejin Lee

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Tags: Code generation, Computer science, GPU cluster, Heterogeneous systems, MPI, nVidia, nVidia GeForce GTX 480, OpenCL, Operating systems, Package, Programming Languages, Programming techniques

July 26, 2012 by hgpu

Bidimensional Median Filter for Parallel Computing Architectures

Ricardo M. Sanchez, Paul A. Rodriguez

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Tags: Algorithms, Computational Complexity, Computer science, CUDA, nVidia, nVidia GeForce GTX 260, Sorting

July 26, 2012 by hgpu

Homunculus Warping: Conveying importance using self-intersection-free non-homogeneous mesh deformation

Bernhard Reinert, Tobias Ritschel, Hans-Peter Seidel

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Tags: 3D Graphics and Realism, Computer science, OpenCL

July 26, 2012 by hgpu

Remote GPU-Accelerated Online Pre-processing of Raster Maps for Terrain Rendering

Rolf Westerteiger, Fang Chen, Andreas Gerndt, Bernd Hamann, Hans Hagen

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Tags: Computer science, CUDA, nVidia, nVidia Quadro FX 6000, Rendering, Sensing, Visualization

July 25, 2012 by hgpu

Source-to-source transformations for irregular and multithreaded code optimization

Julien Jaeger

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Tags: Code generation, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia Quadro FX 5800, Thesis

July 24, 2012 by hgpu

Evaluation of state-of-the-art polyhedral tools for automatic code generation on GPUs

J.C. Juega, J.I. Gomez, C. Tenllado, S. Verdoolaege, A. Cohen, F. Catthoor

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Tags: Code generation, Computer science, CUDA, nVidia, Tesla M2070

July 24, 2012 by hgpu

Scheduling processing of real-time data streams on heterogeneous multi-GPU systems

Uri Verner, Assaf Schuster, Avi Mendelson, Mark Silberstein

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Security, Task scheduling

July 24, 2012 by hgpu

LBCL: multi-device automatic load balancing

Carlos S. de la Lama, Pablo Toharia, Oscar D. Robles, Jose Luis Bosque

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Tags: Computer science, GPU cluster, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, OpenCL

July 23, 2012 by hgpu

A Comparative Study of OpenACC Implementations

Ruyman Reyes, Ivan Lopez, Juan J. Fumero, Francisco de Sande

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Tags: Code generation, Compilers, Computer science, CUDA, nVidia, OpenACC, OpenCL, OpenMP, Performance, Tesla C2050

July 23, 2012 by hgpu

Sparse Approximate Inverse Preconditioners for Iterative Solvers on GPUs

Mykola Lukash, Karl Rupp, Siegfried Selberherr

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Tags: Computer science, nVidia, nVidia GeForce GTX 580, OpenCL, Sparse linear iterative solvers

July 22, 2012 by hgpu

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

tritonBLAS: Triton-based Analytical Approach for GEMM Kernel Parameter Selection

hls4ml: Machine learning on FPGAs using HLS

hls4ml: A Flexible, Open-Source Platform for Deep Learning Acceleration on Reconfigurable Hardware

NVIDIA Nemotron Parse 1.1

ThunderKittens: Tile primitives for speedy kernels

ParallelKittens: Systematic and Practical Simplification of Multi-GPU AI Kernels

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

Iris: First-Class Multi-GPU Programming Experience in Triton

HipKittens: Fast and Furious AMD Kernels

Fortran xDSL dialects

An MLIR pipeline for offloading Fortran to FPGAs via OpenMP

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

High-Performance Spatial Join Processing on GPGPUs with Applications to Large-Scale Taxi Trip Data

Using OpenGL State History for Graphics Debugging

SnuCL: an OpenCL framework for heterogeneous CPU/GPU clusters

Bidimensional Median Filter for Parallel Computing Architectures

Homunculus Warping: Conveying importance using self-intersection-free non-homogeneous mesh deformation

Remote GPU-Accelerated Online Pre-processing of Raster Maps for Terrain Rendering

Source-to-source transformations for irregular and multithreaded code optimization

Evaluation of state-of-the-art polyhedral tools for automatic code generation on GPUs

Scheduling processing of real-time data streams on heterogeneous multi-GPU systems

LBCL: multi-device automatic load balancing

A Comparative Study of OpenACC Implementations

Sparse Approximate Inverse Preconditioners for Iterative Solvers on GPUs

Recent source codes

MATLAB Tensor Core models

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

hls4ml: Machine learning on FPGAs using HLS

NVIDIA Nemotron Parse 1.1

ThunderKittens: Tile primitives for speedy kernels

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

HipKittens: Fast and Furious AMD Kernels

Fortran xDSL dialects

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