8 citations · 19 across the 6 of their papers we have counts for
6 papers
FlowTracer: A Tool for Uncovering Network Path Usage Imbalance in AI Training Clusters
Hasibul Jamil, Abdul Alim, Laurent Schares +6
The increasing complexity of AI workloads, especially distributed Large Language Model (LLM) training, places significant strain on the networking infrastructure of parallel data c…
Carbon-Aware End-to-End Data Movement
Jacob Goldverg, Hasibul Jamil, Elvis Rodriguez +1
The latest trends in the adoption of cloud, edge, and distributed computing, as well as a rise in applying AI/ML workloads, have created a need to measure, monitor, and reduce the…
A Reinforcement Learning Approach to Optimize Available Network Bandwidth Utilization
Hasibul Jamil, Elvis Rodrigues, Jacob Goldverg +1
Efficient data transfers over high-speed, long-distance shared networks require proper utilization of available network bandwidth. Using parallel TCP streams enables an application…
Multibit Tries Packet Classification with Deep Reinforcement Learning
Hasibul Jamil, Ning Weng
High performance packet classification is a key component to support scalable network applications like firewalls, intrusion detection, and differentiated services. With ever incre…
Many Field Packet Classification with Decomposition and Reinforcement Learning
Hasibul Jamil, Ning Yang, Ning Weng
Scalable packet classification is a key requirement to support scalable network applications like firewalls, intrusion detection, and differentiated services. With ever increasing…
Energy-Efficient Data Transfer Optimization via Decision-Tree Based Uncertainty Reduction
Hasibul Jamil, Lavone Rodolph, Jacob Goldverg +1
The increase and rapid growth of data produced by scientific instruments, the Internet of Things (IoT), and social media is causing data transfer performance and resource consumpti…