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Simulation Valuation of Multiple Exercise Options

T. James Marshall, R. Mark Reesor, Matthew Cox

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Tags: ATI, ATI FirePro V9800, Finance, OpenCL

January 17, 2012 by hgpu

A Template Metaprogramming Approach to Support Parallel Programs for Multicores

Xin Liu, Daqiang Zhang, Jingyu Zhou, Minyi Guo, Yao Shen

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Tags: Computer science, nVidia, nVidia GeForce 9400 M, OpenCL, Optimization, Package, Programming techniques

January 17, 2012 by hgpu

Declarative Parallel Programming for GPUs

Eric Holk, William Byrd, Nilesh Mahajan, Jeremiah Willcock, Arun Chauhan, Andrew Lumsdaine

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Tags: ATI, ATI Radeon HD 5770, Compilers, Computer science, nVidia, OpenCL

January 15, 2012 by hgpu

Generating, Optimizing, and Scheduling a Compiler Level Representation of Stream Parallelism

Jeffrey M. Fifield

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Tags: Computer science, Heterogeneous systems, OpenCL, Optimization, Thesis

January 10, 2012 by hgpu

Providing Source Code Level Portability Between CPU and GPU with MapCG

Chun-Tao Hong, De-Hao Chen, Yu-Bei Chen, Wen-Guang Chen, Wei-Min Zheng, Hai-Bo Lin

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Tags: Code generation, Computer science, CUDA, MapReduce, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, OpenCL

January 9, 2012 by hgpu

Graduate Operating Systems: Project Report

James Sweet

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Tags: AES, ATI, ATI Radeon HD 6750 M, Computer science, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 590, OpenCL, Operating systems, Security, Tesla M2070

January 7, 2012 by hgpu

Multiphase Fluid Simulations on a Multiple GPGPU PC Using Unsplit Time Integration VSIAM3

Akio Ikebata, Yoshihiko Muraoka, Feng Xiao

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Tags: Fluid dynamics, Fluid simulation, GPU cluster, nVidia, nVidia GeForce GTX 295, OpenCL

January 7, 2012 by hgpu

Hyper neural network on OpenCL

Frantisek Sindelar

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Tags: Algorithms, Compression, Computer science, Genetic programming, Neural networks, nVidia, nVidia Quadro NVS 140 M, OpenCL, Thesis

January 6, 2012 by hgpu

GPU TV-L1 Optical Flow

Brian Hrolenok, Chris McClanahan

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Tags: Algorithms, Computer science, Computer vision, nVidia, nVidia GeForce GT 330 M, OpenCL, Optical flow, Security

January 4, 2012 by hgpu

GPGPU Accelerated Texture-Based Radiosity

Sungkono Surya Tjahyono, Christof Lutteroth, Burkhard Wunsche

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Tags: Algorithms, Computational Complexity, Computer science, nVidia, nVidia GeForce GTX 550 Ti, OpenCL, OpenGL, Rendering

January 3, 2012 by hgpu

OpenCL Sparse Linear Solver for Circuit Simulation

Jason Mak, Matthew Guthaus

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Tags: Algorithms, Computer science, Electronic design automation, nVidia, nVidia GeForce GTS 250, OpenCL

January 3, 2012 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

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high performance computing on graphics processing units: hgpu.org

Programming

Simulation Valuation of Multiple Exercise Options

A Template Metaprogramming Approach to Support Parallel Programs for Multicores

Declarative Parallel Programming for GPUs

Generating, Optimizing, and Scheduling a Compiler Level Representation of Stream Parallelism

Providing Source Code Level Portability Between CPU and GPU with MapCG

Graduate Operating Systems: Project Report

Multiphase Fluid Simulations on a Multiple GPGPU PC Using Unsplit Time Integration VSIAM3

Hyper neural network on OpenCL

GPU TV-L1 Optical Flow

GPGPU Accelerated Texture-Based Radiosity

OpenCL Sparse Linear Solver for Circuit Simulation

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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