activity
20172023
most citedPOLCA: Power Oversubscription in LLM Cloud Providers

5 citations · 8 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DC2023★ 5 cited

POLCA: Power Oversubscription in LLM Cloud Providers

Pratyush Patel, Esha Choukse, Chaojie Zhang +4

Recent innovation in large language models (LLMs), and their myriad use-cases have rapidly driven up the compute capacity demand for datacenter GPUs. Several cloud providers and ot…

cs.DC2023★ 1 cited

Hybrid Computing for Interactive Datacenter Applications

Pratyush Patel, Katie Lim, Kushal Jhunjhunwalla +5

Field-Programmable Gate Arrays (FPGAs) are more energy efficient and cost effective than CPUs for a wide variety of datacenter applications. Yet, for latency-sensitive and bursty w…

cs.DC2020★ 1 cited

Srifty: Swift and Thrifty Distributed Training on the Cloud

Liang Luo, Peter West, Arvind Krishnamurthy +1

Finding the best VM configuration is key to achieve lower cost and higher throughput, two primary concerns in cloud-based distributed neural network (NN) training today. Optimal VM…

cs.AR2020

The Virtual Block Interface: A Flexible Alternative to the Conventional Virtual Memory Framework

Nastaran Hajinazar, Pratyush Patel, Minesh Patel +7

Computers continue to diversify with respect to system designs, emerging memory technologies, and application memory demands. Unfortunately, continually adapting the conventional v…

cs.DC2017★ 1 cited

A Server-based Approach for Predictable GPU Access with Improved Analysis

Hyoseung Kim, Pratyush Patel, Shige Wang +2

We propose a server-based approach to manage a general-purpose graphics processing unit (GPU) in a predictable and efficient manner. Our proposed approach introduces a GPU server t…