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A massively parallel implementation of QC-LDPC decoder on GPU

Guohui Wang, Michael Wu, Yang Sun, Joseph R. Cavallaro

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Tags: CUDA, nVidia, nVidia GeForce GTX 470, Parity-check codes, Signal processing

July 9, 2011 by hgpu

GPU volume rendering in 3D echocardiography: Real-time pre-processing and ray-casting

Gabriel Kiss, Erik Steen, Jon Petter Asen, Hans G. Torp

Tags: CUDA, Heart, Medicine, nVidia, OpenCL, Performance, Rendering, Visualization

July 9, 2011 by hgpu

Frameworks for GPU Accelerators: A comprehensive evaluation using 2D/3D image registration

Richard Membarth, Frank Hannig, Jurgen Teich, Mario Korner, Wieland Eckert

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Tags: CUDA, Image processing, Image registration, nVidia, nVidia Quadro FX 5800, OpenCL, Performance, RapidMind, Tesla C2050

July 9, 2011 by hgpu

Binary Mesh Partitioning for Cache-Efficient Visualization

Marc Tchiboukdjian, Vincent Danjean, Bruno Raffin

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Optimization, Visualization

July 8, 2011 by hgpu

SCGPSim: A fast SystemC simulator on GPUs

Mahesh Nanjundappa, Hiren D. Patel, Bijoy A. Jose, Sandeep K. Shukla

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Tags: Code generation, Computer science, CUDA, High-level Languages, nVidia, Tesla D870

July 8, 2011 by hgpu

Parallel implementation of a spiking neuronal network model of unsupervised olfactory learning on NVidia CUDA

T. Nowotny

Tags: Biology, CUDA, Neural networks, nVidia, Tesla C870

July 8, 2011 by hgpu

Hybrid Core Acceleration of UWB SIRE Radar Signal Processing

Song Jun Park, James A. Ross, Dale R. Shires, David A. Richie, Brian J. Henz, Lam H. Nguyen

Tags: ATI, Brook, CUDA, Heterogeneous systems, nVidia, Signal processing

July 8, 2011 by hgpu

High Performance Remote Sensing Image Processing Using CUDA

Xiaoshu Si, Hong Zheng

Tags: CUDA, Image processing, nVidia, Sensing

July 8, 2011 by hgpu

Enhanced implementation of the NTRUEncrypt algorithm using graphics cards

A.A. Kamal, A.M. Youssef

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 275, Security

July 7, 2011 by hgpu

Acceleration of Streamed Tensor Contraction Expressions on GPGPU-Based Clusters

Wenjing Ma, Sriram Krishnamoorthy, Oreste Villa, Karol Kowalski

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Tags: Computational chemistry, Computer science, CUDA, Linear Algebra, Matrix multiplication, nVidia, Presentation, Tesla C1070, Tesla S1070

July 7, 2011 by hgpu

Comparing performance and energy efficiency of FPGAs and GPUs for high productivity computing

Brahim Betkaoui, David B. Thomas, Wayne Luk

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Tags: Computer science, CUDA, Energy-efficient computing, FPGA, nVidia, Performance, Tesla C1060

July 7, 2011 by hgpu

Pricing of cross-currency interest rate derivatives on Graphics Processing Units

Duy Minh Dang

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Tags: CUDA, Finance, nVidia, Presentation, Tesla C870

July 7, 2011 by hgpu

A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels

KernelGYM & Dr. Kernel: A distributed GPU environment and a collection of RL training methods to support RL for Kernel Generations

Dr. Kernel: Reinforcement Learning Done Right for Triton Kernel Generations

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

Generating Literature-Driven Scientific Theories at Scale

Nsight Python: a Python kernel profiling interface based on NVIDIA Nsight Tools

Nsight Python: A Python-First Profiling Toolkit for Seamless GPU Kernel Analysis (Tool)

Awesome LLM-Driven Kernel Generation

Towards Automated Kernel Generation in the Era of LLMs

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming

A massively parallel implementation of QC-LDPC decoder on GPU

GPU volume rendering in 3D echocardiography: Real-time pre-processing and ray-casting

Frameworks for GPU Accelerators: A comprehensive evaluation using 2D/3D image registration

Binary Mesh Partitioning for Cache-Efficient Visualization

SCGPSim: A fast SystemC simulator on GPUs

Parallel implementation of a spiking neuronal network model of unsupervised olfactory learning on NVidia CUDA

Hybrid Core Acceleration of UWB SIRE Radar Signal Processing

High Performance Remote Sensing Image Processing Using CUDA

Enhanced implementation of the NTRUEncrypt algorithm using graphics cards

Acceleration of Streamed Tensor Contraction Expressions on GPGPU-Based Clusters

Comparing performance and energy efficiency of FPGAs and GPUs for high productivity computing

Pricing of cross-currency interest rate derivatives on Graphics Processing Units

Recent source codes

A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels

KernelGYM & Dr. Kernel: A distributed GPU environment and a collection of RL training methods to support RL for Kernel Generations

Vortex-Optimized Light-weight Toolchain (VOLT)

SciDef: Automated Definition Extraction from Scientific Literature

bioagent-bench: Benchmark for evaluating LLM agents in bioinformatics

Benchmark suite for LLM inference on NVIDIA consumer GPUs

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

Nsight Python: a Python kernel profiling interface based on NVIDIA Nsight Tools

Awesome LLM-Driven Kernel Generation

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