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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

Stealing Webpages Rendered on Your Browser by Exploiting GPU Vulnerabilities

Sangho Lee, Youngsok Kim, Jangwoo Kim, Jong Kim

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Tags: AMD FirePro W9000, ATI, ATI Radeon HD 7850, Computer science, CUDA, nVidia, nVidia GeForce GT 210, nVidia GeForce GTX 780, OpenCL, Security, Sequence matching, Tesla C2050

April 13, 2014 by hgpu

Harness Engineering for LLM-Driven GPU Kernel Generation

CANNBot Skills

Compiler-Grounded Hierarchical Diagnosis for LLM-Based Triton Kernel Optimization

NVIDIA Object Oriented Agents

NVIDIA-labs OO Agents: Native Python Object-Oriented Agents

UniCoder: Unified Visual-to-Code Generation via Symbolic Rewards and Reference-Guided Code Optimization

CuFuzz: An API-Knowledge-Graph Coverage-Driven Fuzzing Framework for CUDA Libraries

AutoPass: Evidence-Guided LLM Agents for Compiler Performance Tuning

Probe-and-Refine Tuning of Repository Guidance for AI Coding Agents

Probe-and-Refine Tuning of Repository Guidance for Coding Agents

See all packages

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high performance computing on graphics processing units: hgpu.org

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

Stealing Webpages Rendered on Your Browser by Exploiting GPU Vulnerabilities

Recent source codes

TensorCorePTX: PTX Tensor Core GEMM Exploration

FlashPDE: Triton-fused PDE stencil kernels for physics-informed neural networks

PortLBM: Portable GPU-accelerated Lattice Boltzmann Method Simulations

Harness Engineering for LLM-Driven GPU Kernel Generation

CANNBot Skills

NVIDIA Object Oriented Agents

UniCoder: Unified Visual-to-Code Generation via Symbolic Rewards and Reference-Guided Code Optimization

CuFuzz: An API-Knowledge-Graph Coverage-Driven Fuzzing Framework for CUDA Libraries

AutoPass: Evidence-Guided LLM Agents for Compiler Performance Tuning

Probe-and-Refine Tuning of Repository Guidance for AI Coding Agents

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