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A 3D radiative transfer framework. VIII. OpenCL implementation

P. H. Hauschildt, E. Baron

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Tags: Astrophysics, ATI, ATI Radeon HD 4870, Earth and Planetary Astrophysics, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce 8600 M, nVidia GeForce 8800 GT, nVidia GeForce GT 120, nVidia GeForce GTX 285, nVidia Quadro FX 4800, OpenCL, Solar and Stellar Astrophysics, Tesla C2050

February 17, 2012 by hgpu

Using OpenCL for image analysis

Niklas Frisk

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Tags: Algorithms, Benchmarking, Image processing, Java, nVidia, nVidia GeForce 8600 M, OpenCL, Thesis

October 29, 2011 by hgpu

A 3D radiative transfer framework: XIII. OpenCL implementation

Peter H. Hauschildt, E. Baron

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July 29, 2011 by hgpu

Realtime affine-photometric KLT feature tracker on GPU in CUDA framework

Jun-Sik Kim, Myung Hwangbo, Takeo Kanade

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Tags: Computer vision, CUDA, Image processing, nVidia, nVidia GeForce 8600 M, nVidia GeForce 8800 GTX, nVidia GeForce 8800 Ultra, nVidia GeForce GTX 280, Optical flow, Video tracking

April 27, 2011 by hgpu

Accelerating the Stochastic Simulation Algorithm using Emerging Architectures

David Dewayne Jenkins

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Tags: Biology, CUDA, Monte Carlo simulation, nVidia, nVidia GeForce 8600 M, Stochastic simulation, Tesla C1060, Tesla C870, Thesis

February 16, 2011 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

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

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

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

A 3D radiative transfer framework. VIII. OpenCL implementation

Using OpenCL for image analysis

A 3D radiative transfer framework: XIII. OpenCL implementation

Realtime affine-photometric KLT feature tracker on GPU in CUDA framework

Accelerating the Stochastic Simulation Algorithm using Emerging Architectures

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

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

nvsass-disassembler

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

EinsummableV3 - graph-based computation with tensor operations support

MaxKernel: Intelligent TPU Kernel Engineering Agents

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