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A Reconfigurable Processor for Phylogenetic Inference

Pei Liu, Ahmed Hemani, Kolin Paul

Tags: Computer science, Electronic design automation, FPGA, Performance

June 15, 2011 by hgpu

Full-resolution interactive CPU volume rendering with coherent BVH traversal

A. Knoll, S. Thelen, I. Wald, C.D. Hansen, H. Hagen, M.E. Papka

Tags: Computer science, Performance, Rendering

June 15, 2011 by hgpu

Accelerating Viola-Jones Face Detection to FPGA-Level Using GPUs

Daniel Hefenbrock, Jason Oberg, Nhat Tan Nguyen Thanh, Ryan Kastner, Scott B. Baden

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Tags: Computer science, Computer vision, CUDA, FPGA, GPU cluster, Image recognition, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 295

June 15, 2011 by hgpu

Pedestrian detection system based on stereo vision for mobile robot

Bodam Nam, Sung-il Kang, Hyunki Hong

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Tags: Computer science, Computer vision, nVidia, nVidia GeForce GTX 260 M, Stereo vision

June 15, 2011 by hgpu

The accelerating implementation of BLAST with stream processor

Gang Wei, Chao Ma, Songwen Pei, Baifeng Wu

Tags: ATI, ATI Radeon HD 4850, Bioinformatics, Biology, BLAST, Brook, Sequence alignment

June 15, 2011 by hgpu

A compiler for high performance computing with many-core accelerators

Naohito Nakasato, Jun Makino

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Tags: ATI, ATI CAL, ATI IL, Compilers, Computer science, RV770

June 15, 2011 by hgpu

Robust modified L2 local optical flow estimation and feature tracking

T. Senst, V. Eiselein, R.H. Evangelio, T. Sikora

Tags: Computer science, Optical flow, Video tracking

June 15, 2011 by hgpu

Xbox 360 System Architecture

Jeff Andrews, Nick Baker

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Tags: Computer science, Hardware Architecture, Xbox 360

June 15, 2011 by hgpu

Keynote address: Immersive exploration of large datasets

A. Kaufman

Tags: Computer science, Computer vision, GPU cluster, Rendering

June 15, 2011 by hgpu

Real-time numerical dispersion compensation using graphics processing unit for Fourier-domain optical coherence tomography

K. Zhang, J.U. Kang

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Tags: nVidia, nVidia GeForce GTX 580, Physics, Tomography

June 14, 2011 by hgpu

FPGA Based High Performance and Scalable Block LU Decomposition Architecture

Manish Kumar Jaiswal, Nitin Chandrachoodan

Tags: Computer science, FPGA, Linear Algebra, Matrix decomposition

June 14, 2011 by hgpu

Parallelizing Peptide-Spectrum scoring using modern graphics processing units

Jian Zhang, I. McQuillan, FangXiang Wu

Tags: Biology, CUDA, Macromolecule, nVidia, Spectrometry

June 14, 2011 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

* * *

high performance computing on graphics processing units: hgpu.org

Applications

A Reconfigurable Processor for Phylogenetic Inference

Full-resolution interactive CPU volume rendering with coherent BVH traversal

Accelerating Viola-Jones Face Detection to FPGA-Level Using GPUs

Pedestrian detection system based on stereo vision for mobile robot

The accelerating implementation of BLAST with stream processor

A compiler for high performance computing with many-core accelerators

Robust modified L2 local optical flow estimation and feature tracking

Xbox 360 System Architecture

Keynote address: Immersive exploration of large datasets

Real-time numerical dispersion compensation using graphics processing unit for Fourier-domain optical coherence tomography

FPGA Based High Performance and Scalable Block LU Decomposition Architecture

Parallelizing Peptide-Spectrum scoring using modern graphics processing units

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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