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Improving Resource Utilization in Heterogeneous CPU-GPU Systems

Michael Boyer

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Tags: Algorithms, ATI, ATI Radeon HD 5870, ATI Radeon HD 7970, Biology, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 280, OpenCL, Package, Software Engineering, Thesis

September 23, 2013 by hgpu

BenchFriend: Correlating the Performance of GPU Benchmarks

Shuai Che, Kevin Skadron

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Tags: Benchmarking, Computer science, CUDA, GPGPU-sim, nVidia, Tesla C2050, Tesla K20

September 23, 2013 by hgpu

Processing MPI Derived Datatypes on Noncontiguous GPU-Resident Data

John Jenkins, James Dinan, Pavan Balaji, Tom Peterka, Nagiza F. Samatova, Rajeev Thakur

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Tags: Algorithms, Benchmarking, Computer science, CUDA, MPI, nVidia, Tesla C2050

September 23, 2013 by hgpu

Accelerating Habanero-Java Programs with OpenCL Generation

Akihiro Hayashi, Max Grossman, Jisheng Zhao, Jun Shirako, Vivek Sarkar

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Tags: APU, ATI, ATI Radeon HD 7660, Computer science, Java, nVidia, OpenCL, Tesla M2050

September 22, 2013 by hgpu

Optimization solutions for the segmented sum algorithmic function

Alexandru Pirjan

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Tags: Computer science, CUDA, Memory, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, nVidia GeForce GTX 680, Performance

September 21, 2013 by hgpu

A streaming model for nested data parallelism

Frederik M. Madsen

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Tags: Algorithms, Computer science, CUDA, Data parallelism, nVidia, Thesis

September 21, 2013 by hgpu

A GPU Implementation of Parallel Constraint-based Local Search

Alejandro Arbelaez, Philippe Codognet

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Tags: Algorithms, Computer science, CUDA, nVidia, Search, Tesla C2075

September 21, 2013 by hgpu

GPU Accelerated Parameter Estimation by Global Optimization using Interval Analysis

Mads B. Eriksen, Soren Rasmussen

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 465, nVidia GeForce GTX 580, nVidia GeForce GTX Titan, Thesis

September 21, 2013 by hgpu

Preconditioned conjugate gradient solver for structural problems

Xiangge Li

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Tags: Computer science, Conjugate gradient solver, CUDA, nVidia, Physics, Tesla M2070

September 20, 2013 by hgpu

Can GPUs Sort Strings Efficiently?

Aditya Deshpande, P. J. Narayanan

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Sorting, Tesla K20

September 20, 2013 by hgpu

ClusterWatch: Flexible, Lightweight Monitoring for High-end GPGPU Clusters

Magdalena Slawinska, Karsten Schwan, Greg Eisenhauer

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Tags: Computer science, CUDA, GPU cluster, nVidia, Tesla M2090

September 20, 2013 by hgpu

The Security of Key Derivation Functions in WINRAR

Jie Chen, Jun Zhou, Kun Pan, Shuqiang Lin, Cuicui Zhao, Xiaochao Li

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Tags: ATI, ATI Radeon HD 5970, Computer science, nVidia, nVidia GeForce GTX 480, OpenCL, Security

September 20, 2013 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

Improving Resource Utilization in Heterogeneous CPU-GPU Systems

BenchFriend: Correlating the Performance of GPU Benchmarks

Processing MPI Derived Datatypes on Noncontiguous GPU-Resident Data

Accelerating Habanero-Java Programs with OpenCL Generation

Optimization solutions for the segmented sum algorithmic function

A streaming model for nested data parallelism

A GPU Implementation of Parallel Constraint-based Local Search

GPU Accelerated Parameter Estimation by Global Optimization using Interval Analysis

Preconditioned conjugate gradient solver for structural problems

Can GPUs Sort Strings Efficiently?

ClusterWatch: Flexible, Lightweight Monitoring for High-end GPGPU Clusters

The Security of Key Derivation Functions in WINRAR

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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