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SparkCL: A Unified Programming Framework for Accelerators on Heterogeneous Clusters

Oren Segal, Philip Colangelo, Nasibeh Nasiri, Zhuo Qian, Martin Margala

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Tags: Computer science, GPU cluster, Heterogeneous systems, Java, OpenCL, Package

May 7, 2015 by hgpu

Activity recognition from videos with parallel hypergraph matching on GPUs

Eric Lombardi, Christian Wolf, Oya Celiktutan, Bulent Sankur

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Tags: Algorithms, Computer science, Computer vision, nVidia, nVidia GeForce GTS 450, nVidia GeForce GTX 560, nVidia GeForce GTX 580, OpenCL

May 7, 2015 by hgpu

AccFFT: A library for distributed-memory 3-D FFT on CPU and GPU architectures

Amir Gholami, Judith Hill, Dhairya Malhotra, George Biros

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Tags: Computer science, CUDA, FFT, MPI, nVidia, Package, Tesla K20

May 7, 2015 by hgpu

Fireflies: New software for interactively exploring dynamical systems using GPU computing

Robert Merrison-Hort

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Tags: Computer science, Differential equations, Mathematical Software, Mathematics, nVidia, nVidia GeForce GTX 460, ODEs, OpenCL, Ordinary differential equations, Package, Python

May 7, 2015 by hgpu

OMP2HMPP: Compiler Framework for Energy-Performance Trade-off Analysis of Automatically Generated Codes

Albert Saa-Garriga, David Castells-Rufas, Jordi Carrabina

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Tags: Code generation, Compilers, Computer science, CUDA, nVidia, Tesla M2050

May 5, 2015 by hgpu

Coherent Photon Mapping on the Intel MIC Architecture

Chun-Meng Kang, Lu Wang, Pei Wang, Yan-Ning Xu, Xiang-Xu Meng

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Tags: 3D Graphics and Realism, Algorithms, Computer science, Intel Xeon Phi

May 5, 2015 by hgpu

GPU Accelerated Real-Time Collision Handling in Virtual Disassembly

Peng Du, Jie-Yi Zhao, Wan-Bin Pan, Yi-Gang Wang

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Tags: Algorithms, Collision detection, Computer science, CUDA, nVidia, Tesla K20

May 5, 2015 by hgpu

Workload Aware Algorithms for Heterogeneous Platforms

Kishore Kothapalli, Sivaramakrishna Indarapu, Shashank Sharma, Dip Sankar Banerjee, Rohit Nigam

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Tags: Algorithms, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GT 520, nVidia GeForce GTX 580, Performance

May 5, 2015 by hgpu

PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions

Michael Figurnov, Dmitry Vetrov, Pushmeet Kohli

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Tags: CNN, Computer science, CUDA, Deep learning, Machine learning, Neural networks, nVidia, nVidia GeForce GTX 980

May 5, 2015 by hgpu

IPMACC: Translating OpenACC API to OpenCL

Ahmad Lashgar, Alireza Majidi, Amirali Baniasadi

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Tags: Code generation, Computer science, CUDA, nVidia, OpenACC, OpenCL, Package, Tesla K20

May 3, 2015 by hgpu

Efficient Implementation of Bi-directional Path Tracer on GPU

Vilem Otte, Marek Vinkler

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GT 720 M, Raytracing, Rendering

May 3, 2015 by hgpu

Fine-Grained Synchronizations and Dataflow Programming on GPUs

Ang Li, Gert-Jan van den Braak, Henk Corporaa, Akash Kumar

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 570, Performance, PTX

May 3, 2015 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

SparkCL: A Unified Programming Framework for Accelerators on Heterogeneous Clusters

Activity recognition from videos with parallel hypergraph matching on GPUs

AccFFT: A library for distributed-memory 3-D FFT on CPU and GPU architectures

Fireflies: New software for interactively exploring dynamical systems using GPU computing

OMP2HMPP: Compiler Framework for Energy-Performance Trade-off Analysis of Automatically Generated Codes

Coherent Photon Mapping on the Intel MIC Architecture

GPU Accelerated Real-Time Collision Handling in Virtual Disassembly

Workload Aware Algorithms for Heterogeneous Platforms

PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions

IPMACC: Translating OpenACC API to OpenCL

Efficient Implementation of Bi-directional Path Tracer on GPU

Fine-Grained Synchronizations and Dataflow Programming on GPUs

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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