high performance computing on graphics processing units: hgpu.org

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Optimization of the Oktay-Kronfeld Action Conjugate Gradient Inverter

Yong-Chull Jang, Jon A. Bailey, Weonjong Lee, Carleton DeTar, Mehmet B. Oktay, Andreas S. Kronfeld

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Tags: CUDA, High Energy Physics - Lattice, Matrix multiplication, nVidia, nVidia GeForce GTX 480, Physics

November 22, 2013 by hgpu

Bohrium: Unmodified NumPy Code on CPU, GPU, and Cluster

Mads R. B. Kristensen, Simon A. F. Lund, Troels Blum, Kenneth Skovhede, Brian Vinter

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Tags: ATI, ATI Radeon HD 7850, Benchmarking, Computer science, GPU cluster, nVidia, nVidia GeForce GTX 680, OpenCL, Python

November 22, 2013 by hgpu

Direct Numeric Simulation of Sheared Convective Boundary Layer Entrainment with GPUs

Nicholas J. Stewart, David W. Holmes, Wenxian Lin, Steven W. Armfield, Michael P. Kirkpatrick

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Tags: Computer science, CUDA, Finite difference, nVidia, nVidia GeForce GTX 560, Tesla C2070

November 21, 2013 by hgpu

Towards an interactive and automated script feature analysis of 3D scanned cuneiform tablets

D. Fisseler, F. Weichert, G.G.W. Muller, M. Cammarosano

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Tags: Computer science, Computer vision, GLSL, nVidia, nVidia GeForce GTX 560 Ti, OpenGL, Visualization

November 21, 2013 by hgpu

Multi-GPU Support on the Marrow Algorithmic Skeleton Framework

Fernando Jorge Marques Alexandre

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Tags: ATI, ATI Radeon HD 7950, Computer science, CUDA, Heterogeneous systems, nVidia, OpenCL, Performance, Tesla C1060, Thesis

November 20, 2013 by hgpu

Real-time rendering of large surface-scanned range data natively on a GPU

Sajid Farooq

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Tags: ATI, ATI Radeon HD 4870 X2, ATI Radeon HD 5870, Computer science, GLSL, nVidia, nVidia GeForce 8800 GTX, OpenGL, Rendering, Thesis

November 19, 2013 by hgpu

Adaptive implementation selection in the SkePU skeleton programming library

Usman Dastgeer, Lu Li, Christoph Kessler

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Tags: Computer science, CUDA, Machine learning, nVidia, OpenCL, Package, Performance, Tesla C1060, Tesla C2050

November 19, 2013 by hgpu

A study of the speed and the accuracy of the Boundary Element Method as applied to the computational simulation of biological organs

Kirana Kumara P

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Tags: Computational Physics, Computer science, CUDA, Fortran, Mathematical Software, Medical Physics, MPI, nVidia, nVidia Quadro 4000, Package

November 19, 2013 by hgpu

Implementation of the twisted mass fermion operator in the QUDA library

Alexei Strelchenko, Constantia Alexandrou, Giannis Koutsou, Alejandro Vaquero Aviles-Casco

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Tags: CUDA, High Energy Physics - Lattice, nVidia, Physics, QCD, Tesla K20

November 19, 2013 by hgpu

An implicit multigrid solver for high-order compressible flow simulations on GPUs

V. Esfahanian, M. Hedayat, B. Baghapour, M. Torabzadeh, S.J. Hosseini

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Tags: Algorithms, CUDA, Fluid dynamics, nVidia, nVidia GeForce GTX 480

November 19, 2013 by hgpu

Neurokernel: An Open Scalable Software Framework for Emulation and Validation of Drosophila Brain Models on Multiple GPUs

Lev E. Givon, Aurel A. Lazar

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Tags: Biology, CUDA, Neuroscience, nVidia, Package, Python

November 18, 2013 by hgpu

Integrating Multi-GPU Execution in an OpenACC Compiler

Toshiya Komoda, Shinobu Miwa, Hiroshi Nakamura, Naoya Maruyama

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Tags: Compilers, Computer science, CUDA, MPI, nVidia, OpenACC, Tesla C2075, Tesla M2050

November 18, 2013 by hgpu

KernelZero: Co-Evolving Proposer and Coder for Continuously Improved GPU Kernel Generation

Introduction to Computer Vision

ACT: Accelerator Compiler Toolkit

Automatically Generating ML Compiler Backends from Tensor Accelerator ISA Descriptions

pytest-gpu-proof: A Simple Pytest Extension for Local GPU Code Testing

pytest-gpu-proof: Enabling Cloud-CPU Continuous Integration for GPU Code with Local GPU Attestation

Accelerating the Mitigation of LLM Inference Nondeterminism Across GPU Architectures

nvsass-disassembler

Automated Instruction Encoding Synthesis for Modern GPU ISA Compression

PrefixBench-H100: Characterizing Prefix Reuse and Time-to-First-Token in H100 LLM Serving

AutoTuneBench: Trustworthy Measurement for Agent Auto-Tuning of LLM Serving Engines

EinsummableV3 - graph-based computation with tensor operations support

Every Kernel Is a Join: Automatic Multi-GPU Parallelism for AI Computations in Einsummable

MaxKernel: Intelligent TPU Kernel Engineering Agents

MaxKernel: Agentic Kernel Generation for TPUs

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high performance computing on graphics processing units: hgpu.org

Optimization of the Oktay-Kronfeld Action Conjugate Gradient Inverter

Bohrium: Unmodified NumPy Code on CPU, GPU, and Cluster

Direct Numeric Simulation of Sheared Convective Boundary Layer Entrainment with GPUs

Towards an interactive and automated script feature analysis of 3D scanned cuneiform tablets

Multi-GPU Support on the Marrow Algorithmic Skeleton Framework

Real-time rendering of large surface-scanned range data natively on a GPU

Adaptive implementation selection in the SkePU skeleton programming library

A study of the speed and the accuracy of the Boundary Element Method as applied to the computational simulation of biological organs

Implementation of the twisted mass fermion operator in the QUDA library

An implicit multigrid solver for high-order compressible flow simulations on GPUs

Neurokernel: An Open Scalable Software Framework for Emulation and Validation of Drosophila Brain Models on Multiple GPUs

Integrating Multi-GPU Execution in an OpenACC Compiler

Recent source codes

KernelZero: Co-Evolving Proposer and Coder for Continuously Improved GPU Kernel Generation

Introduction to Computer Vision

ACT: Accelerator Compiler Toolkit

pytest-gpu-proof: A Simple Pytest Extension for Local GPU Code Testing

Accelerating the Mitigation of LLM Inference Nondeterminism Across GPU Architectures

nvsass-disassembler

PrefixBench-H100: Characterizing Prefix Reuse and Time-to-First-Token in H100 LLM Serving

AutoTuneBench: Trustworthy Measurement for Agent Auto-Tuning of LLM Serving Engines

EinsummableV3 - graph-based computation with tensor operations support

MaxKernel: Intelligent TPU Kernel Engineering Agents

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