high performance computing on graphics processing units: hgpu.org

hgpu.org » Nuclear physics

Hybrid GPU-CPU Adaptive Precision Ray-Triangle Intersection Tests for Robust High-Performance GPU Dosimetry Computations

Lancelot Perrotte, Bruno Bodin, Laurent Chodorge

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Tags: Algorithms, CUDA, Floating point error, Nuclear physics, nVidia, nVidia GeForce GTX 295, Physics, Raytracing

November 2, 2011 by hgpu

High performance stream computing for particle beam transport simulations

R. Appleby, D. Bailey, J. Higham, M. Salt

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Tags: Brook, Nuclear physics, nVidia, nVidia GeForce 7900, Physics

June 4, 2011 by hgpu

GPU’s for event reconstruction in the FairRoot framework

M. {Al-Turany}, F. {Uhlig}, R. {Karabowicz}

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Tags: CUDA, Instrumentation and measurement, Nuclear physics, nVidia, Package, Particle physics and field theory, Physics, Tesla C1060

November 5, 2010 by hgpu

ATTUNE: Agentic Throughput Tuning for LLM Training

HPCAgent-Bench: A Framework for Sound Benchmarking of Code-Optimizing Agents, Harnesses, and Skills

AgentGarten: Code Worlds for Evolving Agents

Brian2 Atlas

A Unified Intermediate Representation and Execution Architecture for Heterogeneous and Distributed Neural Simulation

KernelLens: Automated Triton-to-C++ Compiler for Enterprise Inference Runtimes

KernelLens: Deploying Triton Kernels to C++ Inference Engines

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

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high performance computing on graphics processing units: hgpu.org

Hybrid GPU-CPU Adaptive Precision Ray-Triangle Intersection Tests for Robust High-Performance GPU Dosimetry Computations

High performance stream computing for particle beam transport simulations

GPU’s for event reconstruction in the FairRoot framework

Recent source codes

ATTUNE: Agentic Throughput Tuning for LLM Training

HPCAgent-Bench: A Framework for Sound Benchmarking of Code-Optimizing Agents, Harnesses, and Skills

AgentGarten: Code Worlds for Evolving Agents

Brian2 Atlas

KernelLens: Automated Triton-to-C++ Compiler for Enterprise Inference Runtimes

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

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