high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Image and Signal Processing

GPU-based interactive visualization framework for ultrasound datasets

Sukhyun Lim, Koojoo Kwon, Byeong S. Shin

Tags: Filtering, Image generation, Image processing, Rendering, Ultrasound, Visualization

November 25, 2010 by hgpu

Fast face tracking using parallel particle filter algorithm

Ke-Yan Liu, Shan-Qing Li, Liang Tang, Lei Wang, Wei Liu

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Tags: Computer vision, Image processing, Video tracking

November 25, 2010 by hgpu

A high-throughput screening approach to discovering good forms of biologically inspired visual representation

Nicolas Pinto, David Doukhan, James J. DiCarlo, David D. Cox

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Tags: Computer vision, CUDA, Image processing, nVidia

November 25, 2010 by hgpu

Challenges and opportunities of obtaining performance from multi-core CPUs and many-core GPUs

T. P. Chen, Yen-Kuang Chen

Tags: Image processing, nVidia

November 23, 2010 by hgpu

Parallel computation of mutual information on the GPU with application to real-time registration of 3D medical images

Ramtin Shams, Parastoo Sadeghi, Rodney Kennedy, Richard Hartley

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Tags: CUDA, Image processing, Image registration, Medicine, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280

November 23, 2010 by hgpu

Mapping High-Fidelity Volume Rendering for Medical Imaging to CPU, GPU and Many-Core Architectures

Mikhail Smelyanskiy, David Holmes, Jatin Chhugani, Alan Larson, Douglas M. Carmean, Dennis Hanson, Pradeep Dubey, Kurt Augustine, Daehyun Kim, Alan Kyker, Victor W. Lee, Anthony D. Nguyen, Larry Seiler, Richard Robb

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Tags: Computed tomography, CT, CUDA, Image processing, Larrabee, Medicine, nVidia, nVidia GeForce GTX 280, Rendering

November 23, 2010 by hgpu

Fast perspective volume ray casting method using GPU-based acceleration techniques for translucency rendering in 3D endoluminal CT colonography

Taek-Hee Lee, Jeongjin Lee, Ho Lee, Heewon Kye, Yeong G. Shin, Soo H. Kim

Tags: Computed tomography, CT, Image processing, Medicine, Tomography

November 23, 2010 by hgpu

3D nonrigid registration via optimal mass transport on the GPU

Tauseef Rehman, Eldad Haber, Gallagher Pryor, John Melonakos, Allen Tannenbaum

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Tags: Cg, Image processing, Medicine, MRI, nVidia, nVidia GeForce 8800 GTX, OpenGL

November 22, 2010 by hgpu

Memory Access Optimized Implementation of Cyclic and Quasi-Cyclic LDPC Codes on a GPGPU

Hyunwoo Ji, Junho Cho, Wonyong Sung

Tags: nVidia, nVidia GeForce GTX 285, Parity-check codes, Signal processing

November 22, 2010 by hgpu

GPU-accelerated elastic 3D image registration for intra-surgical applications

Daniel Ruijters, Bart M. ter Haar Romeny, Paul Suetens

Tags: Image processing, Image registration, Medicine

November 22, 2010 by hgpu

Non-local means denoising algorithm accelerated by GPU

K. Huang, D. Zhang, K. Wang

Tags: Algorithms, Image processing

November 21, 2010 by hgpu

Volume Visualization: A Technical Overview with a Focus on Medical Applications

Qi Zhang, Roy Eagleson, Terry Peters

Tags: FFT, Image processing, Medicine, Raytracing, Rendering, Visualization

November 20, 2010 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

Applications

GPU-based interactive visualization framework for ultrasound datasets

Fast face tracking using parallel particle filter algorithm

A high-throughput screening approach to discovering good forms of biologically inspired visual representation

Challenges and opportunities of obtaining performance from multi-core CPUs and many-core GPUs

Parallel computation of mutual information on the GPU with application to real-time registration of 3D medical images

Mapping High-Fidelity Volume Rendering for Medical Imaging to CPU, GPU and Many-Core Architectures

Fast perspective volume ray casting method using GPU-based acceleration techniques for translucency rendering in 3D endoluminal CT colonography

3D nonrigid registration via optimal mass transport on the GPU

Memory Access Optimized Implementation of Cyclic and Quasi-Cyclic LDPC Codes on a GPGPU

GPU-accelerated elastic 3D image registration for intra-surgical applications

Non-local means denoising algorithm accelerated by GPU

Volume Visualization: A Technical Overview with a Focus on Medical Applications

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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