high performance computing on graphics processing units: hgpu.org

hgpu.org » Heterogeneous systems

Exploring the Optimization Space of Multi-Core Architectures with OpenCL Benchmarks

Deepak Mathews Panickal

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Tags: ATI, ATI Radeon HD 5470, Benchmarking, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce 8800 GTX, OpenCL, Optimization, Tesla C2070, Thesis

December 9, 2011 by hgpu

A dynamic scheduling runtime and tuning system for heterogeneous multi and many-core desktop platforms

Alecio Pedro Delazari Binotto

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Tags: Benchmarking, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce 8800 GT, nVidia GeForce GTX 285, OpenCL, Task scheduling, Thesis

December 5, 2011 by hgpu

Computation of Large Covariance Matrices by SAMMY on Graphical Processing Units and Multicore CPUs

G. Arbanas, M.E. Dunn, D. Wiarda

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Tags: CUBLAS, CUDA, Heterogeneous systems, Linear Algebra, Matrix multiplication, Nuclear Experiment, nVidia, Physics, Tesla C2050

December 3, 2011 by hgpu

Acceleration of computational quantum chemistry by heterogeneous computer architectures

Yuki Furukawa, Ryota Koga, Koji Yasuda

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Tags: Algorithms, Chemistry, Computational chemistry, CUDA, Heterogeneous systems, Molecular modeling, nVidia, nVidia GeForce GTX 580

November 30, 2011 by hgpu

Performance and numerical accuracy evaluation of heterogeneous multicore systems for Krylov orthogonal basis computation

Jerome Dubois, Christophe Calvin, Serge Petiton

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Tags: Cell processor, Computer science, CUDA, Heterogeneous systems, Linear Algebra, nVidia, Performance, Tesla C1060

November 30, 2011 by hgpu

Multiresolution Flow Simulations on Multi/many-core Architectures

Diego Rossinelli

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Tags: Algorithms, Computational Complexity, CUDA, Differential equations, Fluid dynamics, Heterogeneous systems, nVidia, Partial differential equations, PDEs, Tesla S1070, Tesla T10, Thesis, Wavelet

November 29, 2011 by hgpu

Applications Performance on GPGPUs with the Fermi Architecture

Ahmed Mohamed Hassan Abdalla

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Tags: Benchmarking, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce 8400 GS, Performance, Tesla C2050, Tesla M1060, Thesis

November 29, 2011 by hgpu

Enabling Efficient Online Profiling of Homogeneous and Heterogeneous Multicore Systems

Dan Upton

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, OpenCL, Tesla C2050, Thesis

November 29, 2011 by hgpu

A Short Note on Gaussian Process Modeling for Large Datasets using Graphics Processing Units

Mark Franey, Pritam Ranjan, Hugh Chipman

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Tags: Computer science, CUDA, Heterogeneous systems, Matrix inversion, nVidia, nVidia GeForce GTX 260, Statistics and Probability

November 26, 2011 by hgpu

Heterogeneous Computing and Load Balancing Techniques for Monte Carlo Simulation in a Distributed Environment

Isha Sanjay Deshpande

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Tags: Computer science, CUDA, GPU cluster, Heterogeneous systems, Monte Carlo simulation, nVidia, nVidia Quadro FX 5600, Thesis

November 25, 2011 by hgpu

Symphony: A Scheduler for Client-Server Applications on Coprocessor-based Heterogeneous Clusters

M. Mustafa Rafique, Srihari Cadambi, Kunal Rao, Ali R. Butt, Srimat Chakradhar

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Tags: Cluster computing, Computer science, CUDA, GPU cluster, Heterogeneous systems, nVidia, Task scheduling, Tesla C2050

November 24, 2011 by hgpu

Automatic generation of heterogeneous spectrometers for radio astronomy

Terry Filiba, Dan Werthimer

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Tags: Algorithms, Astrophysics, CUDA, FPGA, Heterogeneous systems

November 24, 2011 by hgpu

AutoDock-GPU: AutoDock for GPUs and other accelerators

Architecting Tensor Core-Based Reductions for Irregular Molecular Docking Kernels

NCCLX: collective communication framework

Collective Communication for 100k+ GPUs

Tutoring LLM into a Better CUDA Optimizer

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

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high performance computing on graphics processing units: hgpu.org

Exploring the Optimization Space of Multi-Core Architectures with OpenCL Benchmarks

A dynamic scheduling runtime and tuning system for heterogeneous multi and many-core desktop platforms

Computation of Large Covariance Matrices by SAMMY on Graphical Processing Units and Multicore CPUs

Acceleration of computational quantum chemistry by heterogeneous computer architectures

Performance and numerical accuracy evaluation of heterogeneous multicore systems for Krylov orthogonal basis computation

Multiresolution Flow Simulations on Multi/many-core Architectures

Applications Performance on GPGPUs with the Fermi Architecture

Enabling Efficient Online Profiling of Homogeneous and Heterogeneous Multicore Systems

A Short Note on Gaussian Process Modeling for Large Datasets using Graphics Processing Units

Heterogeneous Computing and Load Balancing Techniques for Monte Carlo Simulation in a Distributed Environment

Symphony: A Scheduler for Client-Server Applications on Coprocessor-based Heterogeneous Clusters

Automatic generation of heterogeneous spectrometers for radio astronomy

Recent source codes

AutoDock-GPU: AutoDock for GPUs and other accelerators

NCCLX: collective communication framework

Tutoring LLM into a Better CUDA Optimizer

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

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