high performance computing on graphics processing units: hgpu.org

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Performance of Kepler GTX Titan GPUs and Xeon Phi System

Hwancheol Jeong, Weonjong Lee, Jeonghwan Pak, Kwang-jong Choi, Sang-Hyun Park, Jun-sik Yoo, Joo Hwan Kim, Joungjin Lee, Young Woo Lee

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Tags: Computational Physics, CUDA, Intel Phi, Intel Xeon Phi, nVidia, nVidia GeForce GTX Titan, Performance, Physics, Tesla K20

November 6, 2013 by hgpu

Batch Method for Efficient Resource Sharing in Real-time Multi-GPU Systems

Uri Verner, Avi Mendelson, Assaf Schuster

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Tags: Computer science, CUDA, nVidia, OpenCL, Performance, Task scheduling, Tesla C2050, Tesla K10

November 4, 2013 by hgpu

DynaProg for Scala: A Scala DSL for Dynamic Programming on CPU and GPU

Thierry Coppey

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Tags: Computer science, CUDA, Heterogeneous systems, High-level Languages, nVidia, nVidia GeForce GT 650 M, Package, RNA, Smith-Waterman algorithm

November 4, 2013 by hgpu

Use of Checkpoint-Restart for Complex HEP Software on Traditional Architectures and Intel MIC

Kapil Arya, Gene Cooperman, Andrea Dotti, Peter Elmer

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Tags: Computational Physics, High Energy Physics - Experiment, Intel Phi, Intel Xeon Phi, Numerical Analysis, Physics

November 4, 2013 by hgpu

Initial Explorations of ARM Processors for Scientific Computing

David Abdurachmanov, Peter Elmer, Giulio Eulisse, Shahzad Muzaffar

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Tags: ARM, Computational Physics, Energy-efficient computing, High Energy Physics - Experiment, Numerical Analysis, Physics

November 4, 2013 by hgpu

OpenCUDA+MPI: A Framework for Heterogeneous GP-GPU Distributed Computing

Kenny Ballou, Nilab Mohammad Mousa

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Tags: Computer science, CUDA, Distributed computing, Heterogeneous systems, MPI, nVidia

November 4, 2013 by hgpu

PAKCK: Performance and Power Analysis of Key Computational Kernels on CPUs and GPUs

Julia S. Mullen, Michael M. Wolf, Anna Klein

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Tags: Computer science, CUDA, Energy-efficient computing, nVidia, Tesla C2075

November 3, 2013 by hgpu

Parallel CPU and GPU computations to solve the job shop scheduling problem with blocking

Abdelhakim AitZai, Adel Dabah, Mourad Boudhar

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Tags: Computer science, CUDA, Graph theory, nVidia, nVidia Quadro 2000, Task scheduling

November 3, 2013 by hgpu

A Fast and Secure Way to Prevent SQL Injection Attacks using Bitslice Technique and GPU Support

Piyush Mittal

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Tags: AES, Computer science, CUDA, Databases, nVidia, nVidia GeForce 9600 M, nVidia GeForce 9800 GT, nVidia GeForce GTX 460, Security, Thesis

November 3, 2013 by hgpu

A Computational Comparison of Basis Updating Schemes for the Simplex Algorithm on a CPU-GPU System

Nikolaos Ploskas, Nikolaos Samaras

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia Quadro 6000

November 3, 2013 by hgpu

Fast 3D Salient Region Detection in Medical Images using GPUs

Rahul Thota, Sharan Vaswani, Amit Kale, Nagavijayalakshmi Vydyanathan

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, Tesla C2050

November 3, 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

Applications

Performance of Kepler GTX Titan GPUs and Xeon Phi System

Batch Method for Efficient Resource Sharing in Real-time Multi-GPU Systems

DynaProg for Scala: A Scala DSL for Dynamic Programming on CPU and GPU

Use of Checkpoint-Restart for Complex HEP Software on Traditional Architectures and Intel MIC

Initial Explorations of ARM Processors for Scientific Computing

OpenCUDA+MPI: A Framework for Heterogeneous GP-GPU Distributed Computing

PAKCK: Performance and Power Analysis of Key Computational Kernels on CPUs and GPUs

Parallel CPU and GPU computations to solve the job shop scheduling problem with blocking

A Fast and Secure Way to Prevent SQL Injection Attacks using Bitslice Technique and GPU Support

A Computational Comparison of Basis Updating Schemes for the Simplex Algorithm on a CPU-GPU System

Fast 3D Salient Region Detection in Medical Images using GPUs

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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