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Exploiting Hyper-Loop Parallelism in Vectorization to Improve Memory Performance on CUDA GPGPU

Shixiong Xu, David Gregg

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Tags: ARM, Computer science, CUDA, Memory model, nVidia, nVidia GeForce GTX 645, nVidia Jetson TK1

September 3, 2015 by hgpu

Fast GPU-based calculations in few-body quantum scattering

V.N. Pomerantsev, V.I. Kukulin, O.A. Rubtsova, S.K. Sakhiev

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Tags: Computational Physics, CUDA, Integral equations, nVidia, nVidia GeForce GTX 670, Physics

September 3, 2015 by hgpu

EMMA: an AMR cosmological simulation code with radiative transfer

Dominique Aubert, Nicolas Deparis, Pierre Ocvirk

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Tags: Astrophysics, Cosmology, CUDA, Instrumentation and Methods for Astrophysics, nVidia, Tesla K20, Tesla M2090

September 3, 2015 by hgpu

A Real-time Coherent Dedispersion Pipeline for the Giant Metrewave Radio Telescope

Kishalay De, Yashwant Gupta

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Tags: Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, nVidia, Tesla C2075

September 3, 2015 by hgpu

A Comparison of High-Level Design Tools for SoC-FPGA on Disparity Map Calculation Example

Shaodong Qin, Mladen Berekovic

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Tags: ARM, Computer science, FPGA, OpenCL

September 3, 2015 by hgpu

OpenCL 2.0 for FPGAs using OCLAcc

Franz Richter-Gottfried, Alexander Ditter, Dietmar Fey

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Tags: ARM, Computer science, FPGA, OpenCL

September 3, 2015 by hgpu

A parallel algorithm for implicit depletant simulations

Jens Glaser, Andrew S. Karas, Sharon C. Glotzer

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Tags: Condensed matter, CUDA, Molecular dynamics, nVidia, Package, Physics, Soft Condensed Matter, Tesla K20, Tesla K80

August 31, 2015 by hgpu

An Asynchronous Event Communication Technique for Soft Real-Time GPGPU Applications

Alexander Vestman

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Tags: Computer science, nVidia, nVidia GeForce GTX 760, OpenGL, Thesis

August 31, 2015 by hgpu

A GPU-accelerated local search algorithm for the Correlation Clustering problem

Mario Levorato, Lucia Drummond, Yuri Frota, Rosa Figueiredo

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Tags: Algorithms, Clustering, Computer science, CUDA, Metaheuristics, nVidia, Tesla K40

August 31, 2015 by hgpu

Dynamic Memory Allocation for OpenCL

Nadir Gamal Abdelrahim Salih

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Tags: ATI, ATI Radeon HD 7400 M, Computer science, Memory model, OpenCL, Thesis

August 31, 2015 by hgpu

Partitioning Large Scale Deep Belief Networks Using Dropout

Yanping Huang, Sai Zhang

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Tags: Benchmarking, Databases, Deep learning, Machine learning, nVidia, nVidia GeForce 8800 GS, Python, Statistics

August 31, 2015 by hgpu

Boosting Java Performance using GPGPUs

James Clarkson, Christos Kotselidis, Gavin Brown, Mikel Lujan

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Tags: Benchmarking, Computer science, CUDA, Heterogeneous systems, Java, nVidia, Performance, Tesla K20

August 28, 2015 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

Applications

Exploiting Hyper-Loop Parallelism in Vectorization to Improve Memory Performance on CUDA GPGPU

Fast GPU-based calculations in few-body quantum scattering

EMMA: an AMR cosmological simulation code with radiative transfer

A Real-time Coherent Dedispersion Pipeline for the Giant Metrewave Radio Telescope

A Comparison of High-Level Design Tools for SoC-FPGA on Disparity Map Calculation Example

OpenCL 2.0 for FPGAs using OCLAcc

A parallel algorithm for implicit depletant simulations

An Asynchronous Event Communication Technique for Soft Real-Time GPGPU Applications

A GPU-accelerated local search algorithm for the Correlation Clustering problem

Dynamic Memory Allocation for OpenCL

Partitioning Large Scale Deep Belief Networks Using Dropout

Boosting Java Performance using GPGPUs

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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