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Automatic Scheduling of Compute Kernels Across Heterogeneous Architectures

Robert F. Lyerly

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Tags: Compilers, Computer science, Heterogeneous systems, Intel Xeon Phi, Machine learning, nVidia, OpenCL, OpenMP, Task scheduling, Tesla C2075

May 9, 2014 by hgpu

Applying Source Level Auto-Vectorization to Aparapi Java

Frank Curtis Albert

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Tags: Computer science, CUDA, Java, nVidia, nVidia GeForce GTX Titan, OpenCL, Thesis

May 9, 2014 by hgpu

Acceleration of LSB Algorithm in GPU

Darshan R, Prabu R, Divya M

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Tags: Algorithms, Computer science, CUDA, nVidia

May 9, 2014 by hgpu

GPU Implementation of Parallel Support Vector Machine Algorithm with Applications to Detection Intruder

Xueqin Zhang, Yifeng Zhang, Chunhua Gu

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTS 250, Security

May 9, 2014 by hgpu

Managing the Topology of Heterogeneous Cluster Nodes with Hardware Locality (hwloc)

Brice Goglin

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Tags: Computer science, CUDA, GPU cluster, Heterogeneous systems, nVidia, OpenMPI, Package, Xeon Phi

May 7, 2014 by hgpu

Learning Sparse Recurrent Neural Networks in Language Modeling

Yuanlong Shao

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Tags: Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX Titan, Thesis

May 7, 2014 by hgpu

Improving the Programmability of GPU Architectures

Cedric Nugteren

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Tags: Algorithms, Computer science, CUDA, nVidia, OpenACC, OpenCL, Package, Performance, Thesis

May 7, 2014 by hgpu

Orchestrating Thread Scheduling and Cache Management to Improve Memory System Throughput in Throughput Processors

Dong Li

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

May 7, 2014 by hgpu

Bio-Inspired Optimization of Ultra-Wideband Patch Antennas Using Graphics Processing Unit Acceleration

Brian Vyhnalek

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Tags: Artificial intelligence, ATI, ATI Radeon HD 6450, Computer science, Electrodynamics, FDTD, Finite difference, Finite-difference time-domain, OpenCL, Particle swarm optimization, Thesis

May 7, 2014 by hgpu

Parallel Solving Massive Linear Equations with CUDA

Zheng Xia

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Tags: Computer science, CUDA, FEM, Finite element method, nVidia, nVidia GeForce GTX 295

May 7, 2014 by hgpu

Simultaneous Use of CPU and GPU to Real Time Inverted Index Updating in Microblogs

Sajad Bolhasani, Hasan Naderi

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Tags: Computer science, CUDA, Data mining, nVidia

May 7, 2014 by hgpu

Accelerating Cryptosystems on Hardware Platforms

Wei Wang

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Tags: Cloud, Computer science, CUDA, FFT, nVidia, RSA, Security, Tesla C2050, Thesis

May 6, 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

Automatic Scheduling of Compute Kernels Across Heterogeneous Architectures

Applying Source Level Auto-Vectorization to Aparapi Java

Acceleration of LSB Algorithm in GPU

GPU Implementation of Parallel Support Vector Machine Algorithm with Applications to Detection Intruder

Managing the Topology of Heterogeneous Cluster Nodes with Hardware Locality (hwloc)

Learning Sparse Recurrent Neural Networks in Language Modeling

Improving the Programmability of GPU Architectures

Orchestrating Thread Scheduling and Cache Management to Improve Memory System Throughput in Throughput Processors

Bio-Inspired Optimization of Ultra-Wideband Patch Antennas Using Graphics Processing Unit Acceleration

Parallel Solving Massive Linear Equations with CUDA

Simultaneous Use of CPU and GPU to Real Time Inverted Index Updating in Microblogs

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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