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DBMS Index for Hierarchical Data Using Nested Intervals and Residue Classes

Vladimir Volonkin

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Tags: Computer science, CUDA, Databases, nVidia

April 18, 2014 by hgpu

Comparative Study of Frequent Itemset Mining Techniques on Graphics Processor

Dharmesh Bhalodiya, Chhaya Patel

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Tags: Algorithms, Computer science, CUDA, Data mining, Databases, nVidia

April 18, 2014 by hgpu

A Survey of Methods For Analyzing and Improving GPU Energy Efficiency

Sparsh Mittal, Jeffrey S. Vetter

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Tags: comparison, Computer science, cpu, CUDA, Energy-efficient computing, FPGA, Hardware Architecture, nVidia

April 18, 2014 by sparsh0mittal

Modeling Image Patches with a Generic Dictionary of Mini-Epitomes

George Papandreou, Liang-Chieh Chen, Alan L. Yuille

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 650 M, SIFT, Tesla K20

April 17, 2014 by hgpu

Importance Sampling of Realistic Light Sources

Heqi Lu

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Tags: 3D Graphics and Realism, Computer science, CUDA, DirectX, nVidia, nVidia GeForce GTX 680, Rendering, Thesis

April 17, 2014 by hgpu

Performance-aware component composition for GPU-based systems

Usman Dastgeer

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Programming techniques, Tesla C1060, Tesla C2050, Thesis

April 16, 2014 by hgpu

On optimization techniques for the matrix multiplication on hybrid CPU+GPU platforms

Luis-Pedro Garcia, Javier Cuenca, Domingo Gimenez

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Tags: Computer science, CUDA, Heterogeneous systems, Matrix multiplication, nVidia, nVidia GeForce GTX 590, Tesla K20

April 16, 2014 by hgpu

Dynamic Instrumentation and Optimization for GPU Applications

Naila Farooqui, Christopher J. Rossbach, Yuan Yu

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Tags: Computer science, CUDA, nVidia, Performance, Programming techniques, Tesla M2075

April 16, 2014 by hgpu

Fast Burrows Wheeler Compression Using CPU and GPU

Aditya Deshpande, P J Narayanan

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Tags: Algorithms, Compression, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 580, nVidia Quadro FX 3700, Package, Thrust

April 14, 2014 by hgpu

Scheduling Dataflow Execution Across Multiple Accelerators

Jon Currey, Adam Eversole, Christopher J. Rossbach

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Tags: Computer science, CUDA, nVidia, Task scheduling, Tesla K20

April 14, 2014 by hgpu

An Approach to Efficient FEM Simulations on Graphics Processing Units Using CUDA

Bjorn Nutti, Dragan Marinkovic

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Tags: Algorithms, Computer science, Conjugate gradient solver, CUDA, FEM, Finite element method, nVidia, nVidia GeForce 8800 GTX

April 14, 2014 by hgpu

A New Architecture for Games and Simulations Using GPUs

Mark Joselli, Cristina Nader Vasconcelos, Esteban Clua

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Tags: Artificial intelligence, Computer science, CUDA, Game physics, Games, nVidia, nVidia GeForce 8800 GTS, OpenGL, Playstation, Xbox 360

April 14, 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

DBMS Index for Hierarchical Data Using Nested Intervals and Residue Classes

Comparative Study of Frequent Itemset Mining Techniques on Graphics Processor

A Survey of Methods For Analyzing and Improving GPU Energy Efficiency

Modeling Image Patches with a Generic Dictionary of Mini-Epitomes

Importance Sampling of Realistic Light Sources

Performance-aware component composition for GPU-based systems

On optimization techniques for the matrix multiplication on hybrid CPU+GPU platforms

Dynamic Instrumentation and Optimization for GPU Applications

Fast Burrows Wheeler Compression Using CPU and GPU

Scheduling Dataflow Execution Across Multiple Accelerators

An Approach to Efficient FEM Simulations on Graphics Processing Units Using CUDA

A New Architecture for Games and Simulations Using GPUs

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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