Picture for Aamir Shafi

Aamir Shafi

DK

MCR-DL: Mix-and-Match Communication Runtime for Deep Learning

Mar 15, 2023
Quentin Anthony, Ammar Ahmad Awan, Jeff Rasley, Yuxiong He, Aamir Shafi, Mustafa Abduljabbar, Hari Subramoni, Dhabaleswar Panda

Figure 1 for MCR-DL: Mix-and-Match Communication Runtime for Deep Learning

Figure 2 for MCR-DL: Mix-and-Match Communication Runtime for Deep Learning

Figure 3 for MCR-DL: Mix-and-Match Communication Runtime for Deep Learning

Figure 4 for MCR-DL: Mix-and-Match Communication Runtime for Deep Learning

* Accepted, to be presented at IPDPS 2023

Access Paper or Ask Questions

Performance Characterization of using Quantization for DNN Inference on Edge Devices: Extended Version

Mar 09, 2023
Hyunho Ahn, Tian Chen, Nawras Alnaasan, Aamir Shafi, Mustafa Abduljabbar, Hari Subramoni, Dhabaleswar K., Panda

Figure 1 for Performance Characterization of using Quantization for DNN Inference on Edge Devices: Extended Version

Figure 2 for Performance Characterization of using Quantization for DNN Inference on Edge Devices: Extended Version

Figure 3 for Performance Characterization of using Quantization for DNN Inference on Edge Devices: Extended Version

Figure 4 for Performance Characterization of using Quantization for DNN Inference on Edge Devices: Extended Version

* Extended version of accepted short paper by ICFEC 2023

Access Paper or Ask Questions

Efficient MPI-based Communication for GPU-Accelerated Dask Applications

Jan 21, 2021
Aamir Shafi, Jahanzeb Maqbool Hashmi, Hari Subramoni, Dhabaleswar K. Panda

Figure 1 for Efficient MPI-based Communication for GPU-Accelerated Dask Applications

Figure 2 for Efficient MPI-based Communication for GPU-Accelerated Dask Applications

Figure 3 for Efficient MPI-based Communication for GPU-Accelerated Dask Applications

Figure 4 for Efficient MPI-based Communication for GPU-Accelerated Dask Applications

* 10 pages, 9 figures, 1 table

Access Paper or Ask Questions