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Optimistic Parallelism on GPUs

Min Feng, Rajiv Gupta, Laxmi N. Bhuyan

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Tags: Computer science, CUDA, Data parallelism, nVidia, Performance, Tesla C1060

September 2, 2014 by hgpu

Optimization of Data-Parallel Scientific Applications on Highly Heterogeneous Modern HPC Platforms

Ziming Zhong

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, Matrix multiplication, Numerical simulation, nVidia, Tesla S2050, Thesis

August 27, 2014 by hgpu

Surface Normal Integration for Convex Space-time Multi-view Reconstruction

Martin R. Oswald, Daniel Cremers

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX Titan

August 27, 2014 by hgpu

HSApriori: High Speed Association Rule Mining using Apriori Based Algorithm for GPU

D.William Albert, K.Fayaz, D.Veerabhadra Babu

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Tags: Algorithms, Computer science, Data mining, Java, Machine learning, nVidia, OpenCL, Tesla

August 26, 2014 by hgpu

Bandwidth Requirements of GPU Architectures

Benjamin C. Johnstone

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Tags: Computer science, CUDA, GPGPU-sim, nVidia, Performance, Thesis

August 26, 2014 by hgpu

An Investigation of Unified Memory Access Performance in CUDA

Raphael Landaverde, Tiansheng Zhang, Ayse K. Coskun, Martin Herbordt

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Tags: Computer science, CUDA, Memory model, nVidia

August 26, 2014 by hgpu

Speedup of Type-1 Fuzzy Logic Systems on Graphics Processing Units Using CUDA

Durlabh Chauhan, Satvir Singh, Sarabjeet Singh, Vijay Kumar Banga

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 650

August 26, 2014 by hgpu

Structured Orthogonal Inversion of Block p-Cyclic Matrices on Multicore with GPU Accelerators

Sergiy Gogolenko, Zhaojun Bai, Richard Scalettar

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Tags: Algorithms, Computer science, CUDA, Factorization, Mathematics, nVidia, nVidia GeForce GTX 480, Package, Tesla C1060

August 23, 2014 by hgpu

GPU Virtualization for High Performance General Purpose Computing on the ESX Hypervisor

Lan Vu, Hari Sivaraman, Rishi Bidarkar

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Tags: Computer science, CUDA, nVidia, nVidia Quadro 4000, Virtualization

August 23, 2014 by hgpu

Illustrative Rendering of Particle Systems

Jennifer Chandler, Harald Obermaier, Kenneth I. Joy

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Tags: 3D Graphics and Realism, Computer science, GLSL, OpenCL, Rendering, Visualization

August 23, 2014 by hgpu

Estimating GPU Speedups for Programs Without Writing a Single Line of GPU Code

Newsha Ardalani, Karthikeyan Sankaralingam, Xiaojin Zhu

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Tags: Benchmarking, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 660 Ti, OpenCL, Performance, Tesla K20

August 23, 2014 by hgpu

High Level Programming for Heterogeneous Architectures

Oren Segal, Martin Margala, Sai Rahul Chalamalasetti, Mitch Wright

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Tags: Computer science, FPGA, Hadoop, Heterogeneous systems, Java, MapReduce, OpenCL, Performance

August 23, 2014 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

Optimistic Parallelism on GPUs

Optimization of Data-Parallel Scientific Applications on Highly Heterogeneous Modern HPC Platforms

Surface Normal Integration for Convex Space-time Multi-view Reconstruction

HSApriori: High Speed Association Rule Mining using Apriori Based Algorithm for GPU

Bandwidth Requirements of GPU Architectures

An Investigation of Unified Memory Access Performance in CUDA

Speedup of Type-1 Fuzzy Logic Systems on Graphics Processing Units Using CUDA

Structured Orthogonal Inversion of Block p-Cyclic Matrices on Multicore with GPU Accelerators

GPU Virtualization for High Performance General Purpose Computing on the ESX Hypervisor

Illustrative Rendering of Particle Systems

Estimating GPU Speedups for Programs Without Writing a Single Line of GPU Code

High Level Programming for Heterogeneous Architectures

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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