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Parallelization Strategies for Local Search Algorithms on Graphics Processing Units

Audrey Delevacq, Pierre Delisle, Michael Krajecki

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

July 9, 2013 by hgpu

Computation of the Isogeometric Analysis Stiffness Matrix on GPU

Alexander Karatarakis, Panagiotis Karakitsios, Manolis Papadrakakis

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 680

July 9, 2013 by hgpu

Revisiting Co-Processing for Hash Joins on the Coupled CPU-GPU Architecture

Jiong He, Mian Lu, Bingsheng He

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Tags: Algorithms, APU, ATI, Computer science, Databases, Hashing, OpenCL

July 9, 2013 by hgpu

ParadisEO-MO-GPU: a Framework for Parallel GPU-based Local Search Metaheuristics

Nouredine Melab, The van Luong, Karima Boufaras, El-Ghazali Talbi

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Tags: Computer science, CUDA, Metaheuristics, nVidia, nVidia GeForce GTX 480, Package, Performance, Search

July 8, 2013 by hgpu

Coalition Structure Generation with the Graphic Processor Unit

Krzysztof Pawlowski, Karol Kurach, Tomasz Michalak, Talal Rahwan

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Tags: Algorithms, Artificial intelligence, Computer science, CUDA, nVidia, nVidia GeForce GTX 660

July 8, 2013 by hgpu

Comparison and Analysis of GPU Energy Efficiency For CUDA and OpenCL

Joe Jackson

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Tags: Computer science, CUDA, Energy-efficient computing, Matrix multiplication, nVidia, nVidia GeForce 9800 GT, OpenCL

July 8, 2013 by hgpu

GPU Implementation of Real-Time Biologically Inspired Face Detection using CUDA

Zeinab Farhoudi, Ali Broumandnia, Elham Askary, Sara Motamed

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Tags: Computer science, Computer vision, CUDA, Image processing, Neural networks, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce 9800 GTX

July 8, 2013 by hgpu

Comparison of Rectangular Matrix Multiplication with and without Border Conditions

Petre Lameski, Igor Mishkovski, Sonja Filiposka, Dimitar Trajanov, Leonid Djinevski

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Tags: Algorithms, Computer science, CUDA, Matrix multiplication, nVidia, nVidia GeForce GTX 680

July 7, 2013 by hgpu

CrowdCL: Web-Based Volunteer Computing with WebCL

Tommy MacWilliam, Cris Cecka

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Tags: Computer science, Distributed computing, Java, nVidia, nVidia GeForce GT 320 M, OpenCL, Package, Tesla K20

July 7, 2013 by hgpu

Comparative study of parallel programming models for multicore computing

Akhtar Ali

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Tags: Benchmarking, Computer science, DSP, Heterogeneous systems, nVidia, OpenCL, OpenMP, Tesla M2050, Thesis

July 7, 2013 by hgpu

Optimize Overall System Performance Through Workload Sequencing for GPUs Data Offloading

Wei Liu, Jian-Jia Chen, Qingxu Deng, Tei-Wei Kuo, Xue Liu

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GT 630 M, Performance

July 5, 2013 by hgpu

Triangular mesh simplification on the GPU

Alexandros Papageorgiou, Nikos Platis

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Tags: 3D Graphics and Realism, Computer science, Mesh simplification, nVidia, nVidia GeForce GTX 275, OpenCL, Triangular meshes

July 5, 2013 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

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high performance computing on graphics processing units: hgpu.org

Parallelization Strategies for Local Search Algorithms on Graphics Processing Units

Computation of the Isogeometric Analysis Stiffness Matrix on GPU

Revisiting Co-Processing for Hash Joins on the Coupled CPU-GPU Architecture

ParadisEO-MO-GPU: a Framework for Parallel GPU-based Local Search Metaheuristics

Coalition Structure Generation with the Graphic Processor Unit

Comparison and Analysis of GPU Energy Efficiency For CUDA and OpenCL

GPU Implementation of Real-Time Biologically Inspired Face Detection using CUDA

Comparison of Rectangular Matrix Multiplication with and without Border Conditions

CrowdCL: Web-Based Volunteer Computing with WebCL

Comparative study of parallel programming models for multicore computing

Optimize Overall System Performance Through Workload Sequencing for GPUs Data Offloading

Triangular mesh simplification on the GPU

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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