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Reuse and Refactoring of GPU Kernels to Design Complex Applications

Santonu Sarkar, Sayantan Mitra, Ashok Srinivasan

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Tags: Computer science, CUDA, FFT, Molecular dynamics, nVidia, nVidia GeForce GTX 480, Optimization, Software Engineering, Tesla S1050

February 24, 2012 by hgpu

Stargazer: Automated Regression-Based GPU Design Space Exploration

Wenhao Jia, Kelly A. Shaw, Margaret Martonosi

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Tags: Algorithms, Computer science, CUDA, Design space exploration, nVidia, nVidia Quadro FX 5800

February 24, 2012 by hgpu

Collision Detection of Triangle Meshes using GPU

Nils Backman

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Tags: Collision detection, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce 8800 GTS, OpenCL, Thesis

February 24, 2012 by hgpu

Shredder: GPU-Accelerated Incremental Storage and Computation

Pramod Bhatotia, Rodrigo Rodrigues, Akshat Verma

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Tags: Cloud, Computer science, CUDA, MapReduce, nVidia, Storage system, Tesla C2050

February 24, 2012 by hgpu

Speculative Parallelization on GPGPUs

Min Feng, Rajiv Gupta, Laxmi N. Bhuyan

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Tags: Compilers, Computer science, CUDA, nVidia, Performance, Poster, Tesla C1060

February 23, 2012 by hgpu

Network Simulator Tools and GPU Parallel Systems

Leonid Djinevski, Sonja Filiposka, Dimitar Trajanov

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Tags: Computer science, CUDA, Networks, nVidia, OpenCL, Tesla C2070

February 23, 2012 by hgpu

Virtual Texturing with WebGL

Sven Andersson, Jhonny Goransson

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Tags: 3D Graphics and Realism, Computer science, nVidia, nVidia GeForce GTX 560 Ti, OpenGL, Rendering, Thesis

February 23, 2012 by hgpu

A Hierarchical Thread Scheduler and Register File for Energy-efficient Throughput Processors

Mark Gebhart, Daniel R. Johnson, David Tarjan, Stephen W. Keckler, William J. Dally, Erik Lindholm, Kevin Skadron

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Tags: Computer science, CUDA, Energy-efficient computing, nVidia

February 22, 2012 by hgpu

Variants of Mersenne Twister Suitable for Graphic Processors

Mutsuo Saito, Makoto Matsumoto

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GT 120, nVidia GeForce GTX 260, Package, Pseudo-random number generators

February 21, 2012 by hgpu

Efficient Data Management for GPU Databases

Peter Bakkum, Srimat Chakradhar

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Tags: Computer science, CUDA, Databases, Heterogeneous systems, nVidia, nVidia GeForce GTX 570, Package

February 21, 2012 by hgpu

Acceleration of Composite Order Bilinear Pairing on Graphics Hardware

Ye Zhang, Chun Jason Xue, Duncan S. Wong, Nikos Mamoulis, S.M. Yiu

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Tags: Algorithms, Cloud, Computer science, CUDA, Elliptic curves, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Security, Tesla M2050

February 21, 2012 by hgpu

GPGPU Processing in CUDA Architecture

Jayshree Ghorpade, Jitendra Parande, Madhura Kulkarni, Amit Bawaskar

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Tags: Computer science, CUDA, Data parallelism, DirectCompute, nVidia, OpenCL, Review

February 21, 2012 by hgpu

CL4SE: A Context Learning Benchmark For Software Engineering Tasks

CodeScaler: Scaling Code LLM Training and Test-Time Inference via Execution-Free Reward Models

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

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high performance computing on graphics processing units: hgpu.org

Reuse and Refactoring of GPU Kernels to Design Complex Applications

Stargazer: Automated Regression-Based GPU Design Space Exploration

Collision Detection of Triangle Meshes using GPU

Speculative Parallelization on GPGPUs

Network Simulator Tools and GPU Parallel Systems

Virtual Texturing with WebGL

A Hierarchical Thread Scheduler and Register File for Energy-efficient Throughput Processors

Variants of Mersenne Twister Suitable for Graphic Processors

Efficient Data Management for GPU Databases

GPGPU Processing in CUDA Architecture

Recent source codes

CL4SE: A Context Learning Benchmark For Software Engineering Tasks

CodeScaler: Scaling Code LLM Training and Test-Time Inference via Execution-Free Reward Models

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

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