Characterization of big data stream processing pipeline: A case study using flink and kafka MH Javed, X Lu, DK Panda Proceedings of the Fourth IEEE/ACM International Conference on Big Data …, 2017 | 34 | 2017 |
DLoBD: A Comprehensive Study of Deep Learning over Big Data Stacks on HPC Clusters X Lu, H Shi, R Biswas, MH Javed, DK Panda IEEE Transactions on Multi-Scale Computing Systems 4 (4), 635-648, 2018 | 23 | 2018 |
Characterizing deep learning over big data (dlobd) stacks on rdma-capable networks X Lu, H Shi, MH Javed, R Biswas, DK Panda 2017 IEEE 25th Annual Symposium on High-Performance Interconnects (HOTI), 87-94, 2017 | 17 | 2017 |
Cutting the tail: Designing high performance message brokers to reduce tail latencies in stream processing MH Javed, X Lu, DK Panda 2018 IEEE International Conference on Cluster Computing (CLUSTER), 223-233, 2018 | 13 | 2018 |
Performance analysis of deep learning workloads using roofline trajectories MH Javed, KZ Ibrahim, X Lu CCF Transactions on High Performance Computing 1 (3), 224-239, 2019 | 5 | 2019 |
Characterizing and Accelerating Deep Learning and Stream Processing Workloads using Roofline Trajectories MH Javed The Ohio State University, 2019 | | 2019 |