13 citations · 15 across the 3 of their papers we have counts for
4 papers
LLMs or Naive Bayes? Old Gems or New Ways
Mohammad Firas Sada, Dmitry Mishin, John Graham +3
Large language models (LLMs) prompt a recurring question in research computing: should classical methods like Naive Bayes (NB) be retired? We benchmark Complement Naive Bayes again…
Real-Time In-Network Machine Learning on P4-Programmable FPGA SmartNICs with Fixed-Point Arithmetic and Taylor
Mohammad Firas Sada, John J. Graham, Mahidhar Tatineni +3
As machine learning (ML) applications become integral to modern network operations, there is an increasing demand for network programmability that enables low-latency ML inference…
Serving LLMs in HPC Clusters: A Comparative Study of Qualcomm Cloud AI 100 Ultra and NVIDIA Data Center GPUs
Mohammad Firas Sada, John J. Graham, Elham E Khoda +7
This study presents a benchmarking analysis of the Qualcomm Cloud AI 100 Ultra (QAic) accelerator for large language model (LLM) inference, evaluating its energy efficiency (throug…
The National Research Platform: Stretched, Multi-Tenant, Scientific Kubernetes Cluster
Derek Weitzel, Ashton Graves, Sam Albin +9
The National Research Platform (NRP) represents a distributed, multi-tenant Kubernetes-based cyberinfrastructure designed to facilitate collaborative scientific computing. Spanning…