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Performance Drawbacks for Matrix Multiplication using Set Associative Cache in GPU devices

Leonid Djinevski, Sime Arsenovski, Sasko Ristov, Marjan Gusev

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

August 19, 2013 by hgpu

A Domain-Specific Language and Compiler for Stencil Computations on Short-Vector SIMD and GPU Architectures

Tom Henretty, Justin Holewinski, Richard Veras, Franz Franchetti, Louis-Noel Pouchet, J. Ramanujam, Atanas Rountev, P. Sadayappan

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

August 19, 2013 by hgpu

PARIS: A Parallel RSA-Prime Inspection Tool

Joseph White

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Package, RSA, Security, Tesla K20, Thesis

August 19, 2013 by hgpu

Algorithms for Compression on GPUs

Anders L. V. Nicolaisen

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Tags: Algorithms, Compression, Computer science, CUDA, nVidia, nVidia GeForce GT 620 M, Thesis

August 19, 2013 by hgpu

Transfer Time Reduction of Data Transfers between CPU and GPU

Julius Sandgren

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Tags: ATI, ATI Radeon HD 3650, Computer science, CUDA, nVidia, nVidia Quadro FX 370, OpenCL, Performance, Thesis

August 19, 2013 by hgpu

Towards a Distributed GPU-Accelerated Matrix Inversion

Gerardo Ares, Pablo Ezzatti, Enrique S. Quintana-Orti

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Tags: Algorithms, Computer science, CUDA, Factorization, Matrix inversion, nVidia, Tesla C2050, Tesla M2050

August 18, 2013 by hgpu

Permutation Index and GPU to Solve efficiently Many Queries

Mariela Lopresti, Natalia Miranda, Fabiana Piccoli, Nora Reyes

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Tags: Computer science, CUDA, Databases, nVidia, nVidia GeForce GT 520 M, nVidia GeForce GTX 330 M, nVidia GeForce GTX 550 Ti

August 18, 2013 by hgpu

Fast and Flexible: Parallel Packet Processing with GPUs and Click

Weibin Sun, Robert Ricci

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Package, Software router, String matching

August 18, 2013 by hgpu

Performance Analysis of a Symmetric Cryptography Algorithm on GPU and GPU Cluster

Adrian Pousa, Victoria Maria Sanz, Armando De Giusti

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Tags: AES, Algorithms, Computer science, CUDA, GPU cluster, MPI, nVidia, nVidia GeForce GTX 560 Ti, Security

August 17, 2013 by hgpu

Formal specification and verification of OpenCL Kernel optimization

Jeroen Vonk

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Tags: Computer science, nVidia, OpenCL, Optimization, Tesla S2050, Thesis

August 17, 2013 by hgpu

Accelerating Random Forests on CPUs and GPUs for Object-Class Image Segmentation

Benedikt Waldvogel

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Tags: Computer science, Computer vision, CUDA, Machine learning, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 690, nVidia GeForce GTX Titan, Package, Tesla K20, Thesis

August 16, 2013 by hgpu

GPU-Accelerated Scalable Solver for Banded Linear Systems

Hang Liu, Jung-Hee Seo, Rajat Mittal, H. Howie Huang

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Tags: Computer science, CUDA, Diffusion equation, Matrix decomposition, MPI, nVidia, OpenMPI, Poisson equation, Tesla M2050, Tesla M2090

August 16, 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

Performance Drawbacks for Matrix Multiplication using Set Associative Cache in GPU devices

A Domain-Specific Language and Compiler for Stencil Computations on Short-Vector SIMD and GPU Architectures

PARIS: A Parallel RSA-Prime Inspection Tool

Algorithms for Compression on GPUs

Transfer Time Reduction of Data Transfers between CPU and GPU

Towards a Distributed GPU-Accelerated Matrix Inversion

Permutation Index and GPU to Solve efficiently Many Queries

Fast and Flexible: Parallel Packet Processing with GPUs and Click

Performance Analysis of a Symmetric Cryptography Algorithm on GPU and GPU Cluster

Formal specification and verification of OpenCL Kernel optimization

Accelerating Random Forests on CPUs and GPUs for Object-Class Image Segmentation

GPU-Accelerated Scalable Solver for Banded Linear Systems

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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