high performance computing on graphics processing units: hgpu.org

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Communication-Avoiding Optimization of Geometric Multigrid on GPUs

Amik Singh

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Tags: Algorithms, Computer science, CUDA, nVidia, Optimization, Tesla C2050

December 16, 2012 by hgpu

Circular Hough Transform in OpenCL

Seunghoon Park

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 555 M, OpenCL, Package

December 16, 2012 by hgpu

Performance study of using the Direct Compute API for implementing Support vector machines on GPUs

Karl Jansson

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Tags: Algorithms, Computer science, CUDA, Data mining, DirectX, nVidia, nVidia GeForce GTX 460, OpenCL, Package, Thesis

December 15, 2012 by hgpu

GPU-Accelerated Direct Volume Rendering of Finite Element Data Sets

Bingchen Liu, Alexander Bock, Timo Ropinski, Martyn Nash, Poul Nielsen, Burkhard C. Wunsche

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Tags: 3D Graphics and Realism, Computer science, GLSL, Image generation, nVidia, nVidia GeForce GTX 580, OpenGL, Raytracing, Rendering, Visualization

December 14, 2012 by hgpu

Real-time adaptive algorithms using a Graphics Processing Unit

Jorge Lorente, Miguel Ferrer, Jose A. Belloch, Gema Pinero, Maria de Diego, Alberto Gonzalez, Antonio M. Vidal

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Tags: Acoustics, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 580

December 14, 2012 by hgpu

Visualizing Complex Functions Using GPUs

Khaldoon Ghanem

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Tags: Computer science, GLSL, OpenGL, Package, Visualization

December 14, 2012 by hgpu

A Static Load Balancing Scheme for Parallel Volume Rendering on Multi-GPU Clusters

Shusen Liu, Venkatram Vishwanath, Joseph Insley, Mark Hereld, Michael E. Papka, Valerio Pascucci

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Tags: Computer science, CUDA, GPU cluster, nVidia, Rendering, Tesla M2070

December 14, 2012 by hgpu

Towards Domain-specific Computing for Stencil Codes in HPC

Richard Membarth, Frank Hannig, Jurgen Teich, Harald Kostler

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Tags: Algorithms, Code generation, Compression, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia Quadro FX 5800, OpenCL, Package, Tesla C2050

December 12, 2012 by hgpu

Multi-level Parallelism for Incompressible Flow Computations on GPU Clusters

Dana A. Jacobsen, Inanc Senocak

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Tags: Computer science, CUDA, Fluid dynamics, GPU cluster, MPI, nVidia, Tesla C1060, Tesla S1070

December 12, 2012 by hgpu

Hybrid Parallel Streamline Extraction Combining MPI and OpenCL

Michael Vetter, Stephan Olbrich

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Tags: Computer science, MPI, Numerical Analysis, nVidia, OpenCL, Tesla M2070, Visualization

December 12, 2012 by hgpu

Gaussian Mixture Model Based Volume Visualization

Shusen Liu, Joshua A. Levine, Peer-Timo Bremer, Valerio Pascucci

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Tags: Computer science, CUDA, MRI, nVidia, nVidia GeForce GTX 580, Rendering, Visualization

December 12, 2012 by hgpu

Multi-level Debugging for Multi-stage, Parallelizing Compilers

Richard Xia, Tayfun Elmas, Shoaib Ashraf Kamil, Armando Fox, Koushik Sen

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Tags: Compilers, Computer science, CUDA, nVidia, Package, Python

December 12, 2012 by hgpu

Agentic Code Optimization via Compiler-LLM Cooperation

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

DVM: Real-Time Kernel Generation for Dynamic AI Models

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

AutoKernel: Autonomous GPU Kernel Optimization via Iterative Agent-Driven Search

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

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high performance computing on graphics processing units: hgpu.org

Communication-Avoiding Optimization of Geometric Multigrid on GPUs

Circular Hough Transform in OpenCL

Performance study of using the Direct Compute API for implementing Support vector machines on GPUs

GPU-Accelerated Direct Volume Rendering of Finite Element Data Sets

Real-time adaptive algorithms using a Graphics Processing Unit

Visualizing Complex Functions Using GPUs

A Static Load Balancing Scheme for Parallel Volume Rendering on Multi-GPU Clusters

Towards Domain-specific Computing for Stencil Codes in HPC

Multi-level Parallelism for Incompressible Flow Computations on GPU Clusters

Hybrid Parallel Streamline Extraction Combining MPI and OpenCL

Gaussian Mixture Model Based Volume Visualization

Multi-level Debugging for Multi-stage, Parallelizing Compilers

Recent source codes

Agentic Code Optimization via Compiler-LLM Cooperation

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

LLM.Q: Quantized LLM training in pure CUDA/C++

True 4-Bit Quantized CNN Training on CPU

cuFuzz: A GPU-oriented coverage-guided fuzzer for userland CUDA application

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization

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