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API-Compiling for Image Hardware Accelerators

Fabien Coelho, Francois Irigoin

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Tags: Code generation, Image processing, nVidia, nVidia GeForce 9300 GE, OpenCL

July 2, 2012 by hgpu

GPUs as an Opportunity for Offloading Garbage Collection

Martin Maas, Philip Reames, Jeffrey Morlan, Krste Asanovic, Anthony D. Joseph, John Kubiatowicz

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Tags: Algorithms, APU, Computer science, Memory, OpenCL, Performance

June 29, 2012 by hgpu

Software Performance Analysis with Parallel Programming Approaches

Suneeta H. Angadi, G. T. Raju, Abhishek B

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Tags: Computer science, Matrix multiplication, OpenCL, OpenMP, Optimization, Performance

June 27, 2012 by hgpu

Solving Molecular Distance Geometry Problems in OpenCL

Istvan Lorentz, Razvan Andonie, Levente Fabry-Asztalos

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Tags: Chemistry, Computational chemistry, Molecular modeling, nVidia, nVidia GeForce GTX 560 Ti, OpenCL

June 27, 2012 by hgpu

OpenCL Floating Point Software on Heterogeneous Architectures – Portable or Not?

Miriam Leeser, Jaideep Ramachandran, Thomas Wahl, Devon Yablonski

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Tags: Computer science, Heterogeneous systems, OpenCL

June 27, 2012 by hgpu

Compiling a high-level language for GPUs: (via language support for architectures and compilers)

Christophe Dubach, Perry Cheng, Rodric Rabbah, David F. Bacon, Stephen J. Fink

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Tags: ATI, ATI Radeon HD 5970, Compilers, Computer science, CUDA, Heterogeneous systems, Java, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 580, OpenCL, Programming Languages

June 26, 2012 by hgpu

GPU-based Cloud Computing for Comparing the Structure of Protein Binding Sites

Matthias Leinweber, Lars Baumgartner, Marco Mernberger, Thomas Fober, Eyke Hullermeier, Gerhard Klebe, Bernd Freisleben

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Tags: Biology, Java, Macromolecule, nVidia, nVidia GeForce GTX 580, OpenCL, Tesla M2050

June 26, 2012 by hgpu

Evaluation of likelihood functions on CPU and GPU devices

Sverre Jarp, Alfio Lazzaro, Julien Leduc, Andrzej Nowak, Yngve Sneen Lindal

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Tags: ATI, ATI Radeon HD 5870, Data acquisition, nVidia, nVidia GeForce GTX 470, OpenCL, Physics

June 26, 2012 by hgpu

Hierarchical overlapped tiling

Xing Zhou, Jean-Pierre Giacalone, Maria Jesus Garzaran, Robert H Kuhn, Yang Ni, David Padua

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Tags: Compilers, Computer science, OpenCL, Performance

June 23, 2012 by hgpu

Bacon: A GPU Programming System With Just in Time Specialization

Nat Tuck

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Tags: ATI, ATI Radeon HD 5830, Benchmarking, Computer science, Matrix multiplication, OpenCL

June 23, 2012 by hgpu

Parallel Neural Network Training with OpenCL

Nenad Krpan, Domagoj Jakobovic

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Tags: Algorithms, Computer science, Heterogeneous systems, Neural networks, nVidia, nVidia GeForce GTS 250, OpenCL, Optimization

June 23, 2012 by hgpu

GPU Computing: Image Convolution

Jan Novak, Anton Kaplanyan, Gabor Liktor, Carsten Dachsbacher

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Tags: Education, Image processing, OpenCL, Package

June 20, 2012 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

Programming

API-Compiling for Image Hardware Accelerators

GPUs as an Opportunity for Offloading Garbage Collection

Software Performance Analysis with Parallel Programming Approaches

Solving Molecular Distance Geometry Problems in OpenCL

OpenCL Floating Point Software on Heterogeneous Architectures – Portable or Not?

Compiling a high-level language for GPUs: (via language support for architectures and compilers)

GPU-based Cloud Computing for Comparing the Structure of Protein Binding Sites

Evaluation of likelihood functions on CPU and GPU devices

Hierarchical overlapped tiling

Bacon: A GPU Programming System With Just in Time Specialization

Parallel Neural Network Training with OpenCL

GPU Computing: Image Convolution

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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