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Development of Generic Scheduling Concepts for OpenGL ES 2.0

Waqas Tanveer

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Tags: Computer science, OpenGL, Rendering, Thesis

November 6, 2013 by hgpu

Accelerating Dissipative Particle Dynamics Simulations on GPUs: Algorithms, Numerics and Applications

Yu-Hang Tang, George Em Karniadakis

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Tags: Algorithms, Computational Physics, Computer science, CUDA, MPI, nVidia, 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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Source codes

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

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

Datalog for GPUs

Carlos Alberto Martinez Angeles

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Tags: Computer science, CUDA, Databases, High-level Languages, nVidia, nVidia GeForce GTX 580, Thesis

November 3, 2013 by hgpu

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

A Performance Portable Matrix Free Dense MTTKRP in GenTen

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

Accelerating cosmological simulations on GPUs: a portable approach using OpenMP

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

ConCuR: Conciseness Makes State-of-the-Art Kernel Generation

VibeCodeHPC - Multi Agentic Vibe Coding for HPC

VibeCodeHPC: An Agent-Based Iterative Prompting Auto-Tuner for HPC Code Generation Using LLMs

Compile-Time Resource Safety for GPU APIs: A Low-Overhead Typestate Framework

exa-AMD: Exascale Accelerated Materials Discovery

exa-AMD: An Exascale-Ready Framework for Accelerating the Discovery and Design of Functional Materials

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high performance computing on graphics processing units: hgpu.org

Applications

Development of Generic Scheduling Concepts for OpenGL ES 2.0

Accelerating Dissipative Particle Dynamics Simulations on GPUs: Algorithms, Numerics and Applications

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

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

Datalog for GPUs

Recent source codes

Kernel Library for LLM Serving

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

VibeCodeHPC - Multi Agentic Vibe Coding for HPC

Compile-Time Resource Safety for GPU APIs: A Low-Overhead Typestate Framework

exa-AMD: Exascale Accelerated Materials Discovery

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