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GPGPU Based Non-photorealistic Rendering of Volume Data

Anca Morar, Florica Moldoveanu, Victor Asavei, Lucian Petrescu, Alin Moldoveanu, Alexandru Egner

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GT 230 M, Rendering, Visualization

April 22, 2013 by hgpu

Acceleration of Selective Cationic Antibacterial Peptides computation: A comparison of FPGA and GPU approaches

D. Garcia-Ordaz, M. Arias-Estrada, M. Nuno-Maganda, C. Polanco, G. Del Rio

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Tags: Bioinformatics, Biology, CUDA, FPGA, nVidia, nVidia GeForce GT 230 M, nVidia GeForce GTX 480, Tesla M2070

January 13, 2013 by hgpu

A Modular Framework for Deformation and Fracture using GPU Shaders

Derek John Morris, Eike Falk Anderson, Christopher Peters

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Tags: 3D Graphics and Realism, ATI, ATI Radeon HD 4870 X2, Computer science, DirectX, HLSL, nVidia, nVidia GeForce GT 230 M

October 19, 2012 by hgpu

ATTUNE: Agentic Throughput Tuning for LLM Training

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

Brian2 Atlas

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

AgentGarten: Code Worlds for Evolving Agents

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

GPGPU Based Non-photorealistic Rendering of Volume Data

Acceleration of Selective Cationic Antibacterial Peptides computation: A comparison of FPGA and GPU approaches

A Modular Framework for Deformation and Fracture using GPU Shaders

Recent source codes

ATTUNE: Agentic Throughput Tuning for LLM Training

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

Brian2 Atlas

AgentGarten: Code Worlds for Evolving Agents

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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