A CUDA-based multi-GPU vertex-centric graph processing framework based on Warp Segmentation and Vertex Refinement techniques.
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Updated
Mar 20, 2017 - Cuda
A CUDA-based multi-GPU vertex-centric graph processing framework based on Warp Segmentation and Vertex Refinement techniques.
Measure bandwidth of multiple simultaneously started cudaMemcpyAsync
Sabanci University CS406 Group Project Parallel Computing Cycle Count of length k in Sparse Matrix
Artifact for OSDI'23: MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Multi-GPU Platforms.
Source code for the CPU-Free model - a fully autonomous execution model for multi-GPU applications that completely excludes the involvement of the CPU beyond the initial kernel launch.
Repository for ICS'25: MG-𝛼GCD: Accelerating Graph Community Detection on Multi-GPU Platforms
GPU Framework for Radio Astronomical Image Synthesis
Real-time N-Body Algorithm Accelerated With CUDA and FFT (for up to 1 billion particles with multi GPU)
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