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An Efficient Common Substrings Algorithm for On-the-Fly Behavior-Based Malware Detection and Analysis

Jaime C. Acosta, Brenda G. Medina, Humberto Mendoza

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia Quadro 1000 M, Security

May 10, 2012 by hgpu

Constructing Natural Neighbor Interpolation Based Grid DEM Using CUDA

Simin You, Jianting Zhang

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Tags: Algorithms, Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 480, Software Engineering

May 10, 2012 by hgpu

An Overview of Selected Hybrid and Reconfigurable Architectures

Sasa Stojanovic, Dragan Bojic, Miroslav Bojovic, Mateo Valero, Veljko Milutinovic

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Tags: ATI, ATI Radeon HD 5870, Cell processor, Computer science, FPGA, Heterogeneous systems, nVidia, nVidia GeForce GTX 580, OpenCL, Review

May 9, 2012 by hgpu

Automatic Discovery of Algorithms for Multi-Agent Systems

Sjors van Berkel, Daniel Turi, Andrei Pruteanu, Stefan Dulman

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Tags: Algorithms, Artificial intelligence, Computer science, CUDA, Genetic programming, nVidia, Search strategies

May 9, 2012 by hgpu

Enabling task-level scheduling on heterogeneous platforms

Enqiang Sun, Dana Schaa, Richard Bagley, Norman Rubin, David Kaeli

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Tags: ATI, ATI FirePro V9800, ATI Radeon HD 6970, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX 285, OpenCL, Task scheduling

May 9, 2012 by hgpu

Divide-and-Conquer 3D Convex Hulls on the GPU

Jeffrey M. White, Kevin A. Wortman

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Tags: ATI, ATI Radeon HD 6470 M, Computer science, OpenCL

May 9, 2012 by hgpu

iGPU: Exception Support and Speculative Execution on GPUs

Jaikrishnan Menon, Marc de Kruijf, Karthikeyan Sankaralingam

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Tags: ATI, ATI Radeon HD 6550, Computer science, nVidia, nVidia GeForce GTX 580, OpenCL, Performance, Programming techniques

May 7, 2012 by hgpu

Comparison of OpenMP and OpenCL Parallel Processing Technologies

Krishnahari Thouti, S.R.Sathe

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Tags: Algorithms, Benchmarking, Computer science, nVidia, nVidia Quadro FX 3800, OpenCL, OpenMP, Operating systems, Performance

May 6, 2012 by hgpu

Transparent Accelerator Migration in a Virtualized GPU Environment

Shucai Xiao, Pavan Balaji, James Dinan, Qian Zhu, Rajeev Thakur, Susan Coghlan, Heshan Lin, Gaojin Wen, Jue Hong, Wu-Chun Feng

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Tags: Computer science, nVidia, OpenCL, Tesla M2070, Virtualization

May 6, 2012 by hgpu

Effects of Compiler Optimizations in OpenMP to CUDA Translation

Amit Sabne, Putt Sakdhnagool, Rudolf Eigenmann

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Tags: Compilers, Computer science, CUDA, nVidia, nVidia Quadro FX 5600, OpenMP, Optimization

May 6, 2012 by hgpu

Design of a Hybrid Memory System for General-Purpose Graphics Processing Units

Patrick Carpenter

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Tags: Computer science, CUDA, Memory model, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 470, nVidia GeForce GTX 480, Tesla C2070, Tesla M2050, Thesis

May 6, 2012 by hgpu

One Stone Two Birds: Synchronization Relaxation and Redundancy Removal in GPU-CPU Translation

Ziyu Guo, Bo Wu, Xipeng Shen

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Tags: Code generation, Compilers, Computer science, CUDA, Heterogeneous systems, nVidia, Optimization, Pattern recognition

May 6, 2012 by hgpu

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

See all packages

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high performance computing on graphics processing units: hgpu.org

An Efficient Common Substrings Algorithm for On-the-Fly Behavior-Based Malware Detection and Analysis

Constructing Natural Neighbor Interpolation Based Grid DEM Using CUDA

An Overview of Selected Hybrid and Reconfigurable Architectures

Automatic Discovery of Algorithms for Multi-Agent Systems

Enabling task-level scheduling on heterogeneous platforms

Divide-and-Conquer 3D Convex Hulls on the GPU

iGPU: Exception Support and Speculative Execution on GPUs

Comparison of OpenMP and OpenCL Parallel Processing Technologies

Transparent Accelerator Migration in a Virtualized GPU Environment

Effects of Compiler Optimizations in OpenMP to CUDA Translation

Design of a Hybrid Memory System for General-Purpose Graphics Processing Units

One Stone Two Birds: Synchronization Relaxation and Redundancy Removal in GPU-CPU Translation

Recent source codes

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

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