3 citations · 3 across the 4 of their papers we have counts for
7 papers
DABench-LLM: Standardized and In-Depth Benchmarking of Post-Moore Dataflow AI Accelerators for LLMs
Ziyu Hu, Zhiqing Zhong, Weijian Zheng +6
The exponential growth of large language models has outpaced the capabilities of traditional CPU and GPU architectures due to the slowdown of Moore's Law. Dataflow AI accelerators…
Experimental Demonstration of Software-Orchestrated Quantum Network Applications over a Campus-Scale Testbed
Md. Shariful Islam, Joaquin Chung, Ely Marcus Eastman +3
To fulfill their promise, quantum networks must transform from isolated testbeds into scalable infrastructures for distributed quantum applications. In this paper, we present a pro…
To Stream or Not to Stream: Towards A Quantitative Model for Remote HPC Processing Decisions
Flavio Castro, Weijian Zheng, Joaquin Chung +2
Modern scientific instruments generate data at rates that increasingly exceed local compute capabilities and, when paired with the staging and I/O overheads of file-based transfers…
Cross-Validating Quantum Network Simulators
Joaquin Chung, Michal Hajdušek, Naphan Benchasattabuse +7
We present a first cross-validation of two open-source quantum network simulators, QuISP and SeQUeNCe, focusing on basic networking tasks to ensure consistency and accuracy in simu…
Globus Service Enhancements for Exascale Applications and Facilities
Weijian Zheng, Jack Kordas, Tyler J. Skluzacek +2
Many extreme-scale applications require the movement of large quantities of data to, from, and among leadership computing facilities, as well as other scientific facilities and the…
Design and Simulation of the Adaptive Continuous Entanglement Generation Protocol
Caitao Zhan, Joaquin Chung, Allen Zang +2
Generating and distributing remote entangled pairs (EPs) is a primary function of quantum networks, as entanglement is the fundamental resource for key quantum network applications…