high performance computing on graphics processing units: hgpu.org

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Improving the usability of hierarchical representations for interactively labeling large image data sets

Julia Moehrmann, Stefan Bernstein, Thomas Schlegel, Gunter Werner, Gunther Heidemann

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Tags: ATI, ATI Mobility Radeon HD 4200, Clustering, Image processing, Image recognition, nVidia, nVidia GeForce 9600 M GT, Self-organizing map, Visualization

December 22, 2011 by hgpu

Implementation of a Parallel Tree Method on a GPU

Naohito Nakasato

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Tags: Astrophysics, ATI, ATI IL, ATI Radeon HD 5870, Computational Complexity, Computer science, Galaxy Astrophysics, Instrumentation and Methods for Astrophysics, KD-tree, OpenCL, Optimization, Performance

December 21, 2011 by hgpu

Analysis of GPGPU Platforms Efficiency in General-Purpose Computations

Pavel Kartashev, Vladislavs Nazaruk

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Tags: ATI, ATI Radeon HD 5750, Benchmarking, Computer science, nVidia, nVidia GeForce GT 240, OpenCL, Performance

December 20, 2011 by hgpu

Leveraging Parallelism with CUDA and OpenCL

S. Park, D. Shires, J. Ross, D. Richie

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Tags: AMD FireStream 9250, ATI, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce 8800 GTX, OpenCL, Programming techniques, Tesla C1060

December 18, 2011 by hgpu

Parallel Evaluation of a Spatial Traversability Cost Function on GPU for Efficient Path Planning

Stephen Cossell, Jose Guivant

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Tags: Algorithms, ATI, ATI Radeon HD 2400 XT, Computer science, GLSL, nVidia, nVidia GeForce GTX 480, OpenGL, Path problems

December 12, 2011 by hgpu

Exploring the Optimization Space of Multi-Core Architectures with OpenCL Benchmarks

Deepak Mathews Panickal

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Tags: ATI, ATI Radeon HD 5470, Benchmarking, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce 8800 GTX, OpenCL, Optimization, Tesla C2070, Thesis

December 9, 2011 by hgpu

Performance of PETSc GPU Implementation with Sparse Matrix Storage Schemes

Pramod Kumbhar

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Tags: ATI, ATI FireStream, Computer science, CUDA, Differential equations, GPU cluster, nVidia, OpenCL, Partial differential equations, PDEs, Sparse matrix, Tesla C2050, Thesis

December 8, 2011 by hgpu

Performance engineering for the Lattice Boltzmann method on GPGPUs: Architectural requirements and performance results

Johannes Habich, Christian Feichtinger, Harald Kostler, Georg Hager, Gerhard Wellein

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Tags: Algorithms, ATI, ATI Radeon HD 6970, CUDA, Fluid dynamics, Lattice Boltzmann model, nVidia, nVidia GeForce 8800 GTX, OpenCL, Optimization, Performance, Tesla C1060, Tesla C2070

December 6, 2011 by hgpu

A New Compilation Path: From Python/NumPy to OpenCL

Xunhao Li, Rahul Garg, Jose Nelson Amaral

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Tags: ATI, ATI Radeon HD 5850, Benchmarking, Code generation, Compilers, Computer science, nVidia, nVidia GeForce GTX 260, OpenCL, Python

November 26, 2011 by hgpu

Symbolic Differentiation in GPU Shaders

Brian Guenter, John Rapp, Mark Finch

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Tags: Algorithms, ATI, ATI Radeon HD 5870, Computer science, DirectX, HLSL, Symbolic Computation

November 26, 2011 by hgpu

Fast Hydraulic and Thermal Erosion on GPU

Balazs Jako, Balazs Toth

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Tags: 3D Graphics and Realism, ATI, ATI Radeon HD 3650, ATI Radeon HD 4870, Visualization

November 26, 2011 by hgpu

Automated architecture-aware mapping of streaming applications onto GPUs

Andrei Hagiescu, Huynh Phung Huynh, Weng-Fai Wong, Rick Siow Mong Goh

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Tags: ATI, ATI Radeon HD 5870, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, OpenCL, Performance, Task scheduling, Tesla S1070, Tesla S2050

November 23, 2011 by hgpu

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

CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization

pplx-garden: Perplexity open source garden for inference technology

RDMA Point-to-Point Communication for LLM Systems

LC Framework

Characterizing the Performance of Parallel Data-Compression Algorithms across Compilers and GPUs

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high performance computing on graphics processing units: hgpu.org

Improving the usability of hierarchical representations for interactively labeling large image data sets

Implementation of a Parallel Tree Method on a GPU

Analysis of GPGPU Platforms Efficiency in General-Purpose Computations

Leveraging Parallelism with CUDA and OpenCL

Parallel Evaluation of a Spatial Traversability Cost Function on GPU for Efficient Path Planning

Exploring the Optimization Space of Multi-Core Architectures with OpenCL Benchmarks

Performance of PETSc GPU Implementation with Sparse Matrix Storage Schemes

Performance engineering for the Lattice Boltzmann method on GPGPUs: Architectural requirements and performance results

A New Compilation Path: From Python/NumPy to OpenCL

Symbolic Differentiation in GPU Shaders

Fast Hydraulic and Thermal Erosion on GPU

Automated architecture-aware mapping of streaming applications onto GPUs

Recent source codes

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

mt4g: Memory Topology 4 GPUs

Falcon: GPU-Based Floating-point Adaptive Lossless Compression

CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization

pplx-garden: Perplexity open source garden for inference technology

LC Framework

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