Heterogeneous systems | Page 52

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SparkCL: A Unified Programming Framework for Accelerators on Heterogeneous Clusters

Oren Segal, Philip Colangelo, Nasibeh Nasiri, Zhuo Qian, Martin Margala

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Tags: Computer science, GPU cluster, Heterogeneous systems, Java, OpenCL, Package

May 7, 2015 by hgpu

Workload Aware Algorithms for Heterogeneous Platforms

Kishore Kothapalli, Sivaramakrishna Indarapu, Shashank Sharma, Dip Sankar Banerjee, Rohit Nigam

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Tags: Algorithms, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GT 520, nVidia GeForce GTX 580, Performance

May 5, 2015 by hgpu

A Study of Scheduling a Neuro-imaging Application On a Heterogeneous CPU-GPU Cluster

Reza Nakhjavani

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Tags: Algorithms, CUDA, GPU cluster, Heterogeneous systems, Image processing, Medicine, nVidia, nVidia GeForce GTX Titan, PC cluster, Thesis

April 25, 2015 by hgpu

Direct Communication Methods for Distributed GPUs

Lena Oden

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Tags: Algorithms, Cluster computing, Computer science, CUDA, Heterogeneous systems, MPI, nVidia, Thesis

April 25, 2015 by hgpu

OmpSs task offload

Florentino Sainz

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Tags: Computer science, CUDA, Heterogeneous systems, Intel Xeon Phi, MPI, nVidia, OpenCL, Tesla K20, Thesis

April 4, 2015 by hgpu

Distributed wideband software-defined radio receiver for heterogeneous systems

Arnaud Durand

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Tags: AMD Radeon R9 290, ATI, Heterogeneous systems, OpenCL, Signal processing, Thesis

April 1, 2015 by hgpu

Massively Parallel Analysis of Similarity Matrices on Heterogeneous Hardware

Tobias Rawald, Mike Sips, Norbert Marwan, Ulf Leser

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Tags: ATI, ATI Radeon HD 7470, Computer science, Heterogeneous systems, Linear Algebra, nVidia, nVidia GeForce GTX 690, OpenCL

March 30, 2015 by hgpu

High Performance Computing for solving large sparse systems. Optical Diffraction Tomography as a case of study

Gloria Ortega Lopez

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Tags: Computer science, CUDA, Differential equations, FEM, Finite difference, Finite element method, GPU cluster, Heterogeneous systems, Linear Algebra, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 680, Package, Partial differential equations, PDEs, Sparse matrix, Tesla C2050, Tesla M2070, Tesla M2090, Thesis, Tomography

March 30, 2015 by hgpu

Data driven scheduling approach for the multi-node multi-GPU Cholesky decomposition

Yuki Tsujita, Toshio Endo

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Tags: Computer science, CUBLAS, CUDA, Heterogeneous systems, Linear Algebra, nVidia, Task scheduling, Tesla K20

March 25, 2015 by hgpu

Local vs. Global Optimization: Operator Placement Strategies in Heterogeneous Environments

Tomas Karnagel, Dirk Habich, Wolfgang Lehner

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Tags: ATI, ATI Radeon HD 7660, Computer science, Databases, Heterogeneous systems, nVidia, OpenCL, Tesla K20

March 18, 2015 by hgpu

Heterogeneous Acceleration of Volumetric JPEG 2000

Jan G. Cornelis, Jan Lemeire, Tim Bruylants, Peter Schelkens

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Tags: ATI, ATI Radeon HD 7950, Heterogeneous systems, Image processing, JPEG2000, nVidia, nVidia GeForce GTX 650 Ti, OpenCL, Tesla C2050

March 14, 2015 by hgpu

HPerf: A Lightweight Profiler for Task Distribution on CPU+GPU Platforms

Joo Hwan Lee, Nimit Nigania, Hyesoon Kim, Bevin Brett

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Tags: Computer science, Heterogeneous systems, nVidia, nVidia Quadro 2000, OpenCL, Performance

March 8, 2015 by hgpu

Agentic Code Optimization via Compiler-LLM Cooperation

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

DVM: Real-Time Kernel Generation for Dynamic AI Models

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

AutoKernel: Autonomous GPU Kernel Optimization via Iterative Agent-Driven Search

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

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high performance computing on graphics processing units: hgpu.org

SparkCL: A Unified Programming Framework for Accelerators on Heterogeneous Clusters

Workload Aware Algorithms for Heterogeneous Platforms

A Study of Scheduling a Neuro-imaging Application On a Heterogeneous CPU-GPU Cluster

Direct Communication Methods for Distributed GPUs

OmpSs task offload

Distributed wideband software-defined radio receiver for heterogeneous systems

Massively Parallel Analysis of Similarity Matrices on Heterogeneous Hardware

High Performance Computing for solving large sparse systems. Optical Diffraction Tomography as a case of study

Data driven scheduling approach for the multi-node multi-GPU Cholesky decomposition

Local vs. Global Optimization: Operator Placement Strategies in Heterogeneous Environments

Heterogeneous Acceleration of Volumetric JPEG 2000

HPerf: A Lightweight Profiler for Task Distribution on CPU+GPU Platforms

Recent source codes

Agentic Code Optimization via Compiler-LLM Cooperation

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Device Virtual Machine (DVM)

AutoKernel: Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels

SOL-ExecBench: Speed-of-Light Benchmarking for Real-World GPU Kernels Against Hardware Limits

Triton-Sanitizer: A Fast and Device-Agnostic Memory Sanitizer for Triton with Rich Diagnostic Context

LLM.Q: Quantized LLM training in pure CUDA/C++

True 4-Bit Quantized CNN Training on CPU

cuFuzz: A GPU-oriented coverage-guided fuzzer for userland CUDA application

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization

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