This repo contains the necessary information (or scripts) to reproduce the results in most of my research papers. Note that the results have shown in the paper may be different on your systems due the differences of hardware, OS...etc.
- NVIDIA GPUDirect RDMA, https://developer.nvidia.com/gpudirect
- MVAPICH2-GDR >= 2.3a, http://mvapich.cse.ohio-state.edu/
- (Optional) (Highly recommended) GDRCOPY module, https://github.com/NVIDIA/gdrcopy
Will be having information of following papers.
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Ching-Hsiang Chu, Xiaoyi Lu, Ammar Ahmad Awan, Hari Subramoni, Jahanzeb Hashmi, Bracy Elton and Dhabaleswar Panda, "Efficient and Scalable Multi-Source Streaming Broadcast on GPU Clusters for Deep Learning, " The 46th International Conference on Parallel Processing (ICPP 2017), Bristol, UK, Aug 14-17, 2017.
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Ching-Hsiang Chu, Kaled Hamidouche, Hari Subramoni, Akshay Venkatesh, Bracy Elton, and Dhabaleswar K. Panda, "Efficient Reliability Support for Hardware Multicast-based Broadcast in GPU-enabled Streaming Applications, " First Workshop on Optimization of Communication in HPC runtime systems (COM-HPC), held in conjunction with SC'16, Salt Lake City, UT, USA, Nov. 18, 2016.
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Ching-Hsiang Chu, Kaled Hamidouche, Hari Subramoni, Akshay Venkatesh, Bracy Elton, and Dhabaleswar K. Panda, "Designing High Performance Heterogeneous Broadcast for Streaming Applications on GPU Clusters, " 28th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD'16), Los Angeles, CA, USA, Oct. 26-28, 2016.
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Ching-Hsiang Chu, Kaled Hamidouche, Akshay Venkatesh, Ammar Ahmad Awan, and Dhabaleswar K. Panda, "CUDA Kernel based Collective Reduction Operations on Large-scale GPU Clusters, " 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (IEEE/ACM CCGrid 2016), Cartagena, Colombia, May 16-19, 2016.