ARAshfaqur Rahaman
Ashfaqur Rahaman
*This is an algorithmically generated author record based on publicly available information.
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Ashfaqur Rahaman has a total of 30 co-authors. Here are the top co-authors by number of shared publications:
- Ryan Stutsman
University of Utah, Salt Lake City, USA
3 shared publications - Vijay Nagarajan
University of Utah, Salt Lake City, USA
2 shared publications - Wei Siew Liew
Kahlert School of Computing, The University of Utah
2 shared publications - A. K. M. Saiful Islam
Institute of Water and Flood Management (IWFM) Bangladesh University of Engineering and Technology (BUET) Dhaka Bangladesh
1 shared publication - Adarsh Patil
ARM, Cambridge, United Kingdom
1 shared publication Akramul Haque
1 shared publication
Latest Publications
- Open Access
- 11 August 2026
- Published by Association for Computing Machinery (ACM)
- p. 2077-2082
DynamoServe: A Distributed Tiered Memory System for Multi-tenant LLM Serving
- 11 August 2026
- Published by Association for Computing Machinery (ACM)
- p. 2077-2082
Open AccessDynamoServe: A Distributed Tiered Memory System for Multi-tenant LLM Serving
- Open Access
- 22 March 2026
- Published by Association for Computing Machinery (ACM)
- p. 647-661
Efficient Remote Memory Ordering for Non-Coherent Systems
- 22 March 2026
- Published by Association for Computing Machinery (ACM)
- p. 647-661
Open AccessEfficient Remote Memory Ordering for Non-Coherent Systems
- Open Access
- 14 May 2025
- Published by Association for Computing Machinery (ACM)
- p. 144-150
Stop Taking the Scenic Route: the Shortest Distance Between the CPU and the NIC is MMIO
- 14 May 2025
- Published by Association for Computing Machinery (ACM)
- p. 144-150
Open AccessStop Taking the Scenic Route: the Shortest Distance Between the CPU and the NIC is MMIO
- 27 December 2022
- Published by Elsevier in Environmental Modelling & Software
- Vol. 161
An efficient flash flood forecasting system for the un-gaged Meghna basin using open source platform Delft-FEWS
- 27 December 2022
- Published by Elsevier in Environmental Modelling & Software
- Vol. 161
An efficient flash flood forecasting system for the un-gaged Meghna basin using open source platform Delft-FEWS