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Contributions to the Efficient Use of General Purpose Coprocessors: Kernel Density Estimation as Case Study

Unai Lopez Novoa

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Tags: Algorithms, ATI, ATI Radeon HD 6950, Computational Complexity, Computer science, Heterogeneous systems, Intel Xeon Phi, nVidia, nVidia GeForce GTX 650, OpenCL, Thesis

September 8, 2015 by hgpu

Accelerating Web Search using GPUs

Rimon Tadros

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Tags: C++ AMP, Computer science, nVidia, nVidia GeForce GTX 660 Ti, nVidia GeForce GTX 750 Ti, Search, Thesis

September 8, 2015 by hgpu

Convolutional Neural Network for Sentence Classification

Yahui Chen

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Tags: CNN, Computer science, CUDA, Deep learning, Machine learning, Neural networks, NLP, nVidia, nVidia GeForce GTX Titan X, Thesis

September 5, 2015 by hgpu

Waste Not, Want Not! Managing relational data in asymmetric memories

Holger Pirk

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Tags: ATI, ATI Radeon HD 5850, Computer science, Databases, nVidia, nVidia GeForce GTX 480, OpenCL, Thesis

September 5, 2015 by hgpu

Virtualizing Data Parallel Systems for Portability, Productivity, and Performance

Janghaeng Lee

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Tags: Computer science, LLVM, nVidia, nVidia GeForce GTX 750 Ti, nVidia GeForce GTX 760, OpenCL, Thesis, Virtualization

September 5, 2015 by hgpu

Parallel Execution of the ASP Computation – an Investigation on GPUs

Agostino Dovier, Andrea Formisano, Enrico Pontelli, Flavio Vella

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Tags: Artificial intelligence, Computer science, CUDA, nVidia, nVidia GeForce GT 520, nVidia GeForce GT 640, nVidia GeForce GTX Titan X, Search strategies, Tesla C2075, Tesla K20, Tesla K80

September 5, 2015 by hgpu

A Comparison of High-Level Design Tools for SoC-FPGA on Disparity Map Calculation Example

Shaodong Qin, Mladen Berekovic

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Tags: ARM, Computer science, FPGA, OpenCL

September 3, 2015 by hgpu

OpenCL 2.0 for FPGAs using OCLAcc

Franz Richter-Gottfried, Alexander Ditter, Dietmar Fey

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Tags: ARM, Computer science, FPGA, OpenCL

September 3, 2015 by hgpu

Exploiting Hyper-Loop Parallelism in Vectorization to Improve Memory Performance on CUDA GPGPU

Shixiong Xu, David Gregg

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Tags: ARM, Computer science, CUDA, Memory model, nVidia, nVidia GeForce GTX 645, nVidia Jetson TK1

September 3, 2015 by hgpu

An Asynchronous Event Communication Technique for Soft Real-Time GPGPU Applications

Alexander Vestman

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Tags: Computer science, nVidia, nVidia GeForce GTX 760, OpenGL, Thesis

August 31, 2015 by hgpu

A GPU-accelerated local search algorithm for the Correlation Clustering problem

Mario Levorato, Lucia Drummond, Yuri Frota, Rosa Figueiredo

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Tags: Algorithms, Clustering, Computer science, CUDA, Metaheuristics, nVidia, Tesla K40

August 31, 2015 by hgpu

Dynamic Memory Allocation for OpenCL

Nadir Gamal Abdelrahim Salih

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Tags: ATI, ATI Radeon HD 7400 M, Computer science, Memory model, OpenCL, Thesis

August 31, 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

Contributions to the Efficient Use of General Purpose Coprocessors: Kernel Density Estimation as Case Study

Accelerating Web Search using GPUs

Convolutional Neural Network for Sentence Classification

Waste Not, Want Not! Managing relational data in asymmetric memories

Virtualizing Data Parallel Systems for Portability, Productivity, and Performance

Parallel Execution of the ASP Computation – an Investigation on GPUs

A Comparison of High-Level Design Tools for SoC-FPGA on Disparity Map Calculation Example

OpenCL 2.0 for FPGAs using OCLAcc

Exploiting Hyper-Loop Parallelism in Vectorization to Improve Memory Performance on CUDA GPGPU

An Asynchronous Event Communication Technique for Soft Real-Time GPGPU Applications

A GPU-accelerated local search algorithm for the Correlation Clustering problem

Dynamic Memory Allocation for OpenCL

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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