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Prashant J. Shenoy

8 papers hereh-index 558 citations16 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author6

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.DC4
  • cs.LG2
  • cs.CR1
  • eess.SY1
same name
  • Prashant J. Shenoy — 7 papers, h 7
  • Prashant J. Shenoy — 2 papers, h 6
  • Prashant J. Shenoy — 1 paper, h 15
  • Prashant J. Shenoy — 1 paper, h 10
  • Prashant J. Shenoy — 1 paper, h 7

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators
Showing cs.DCShow all

4 papers · 1 filter

cs.DC2026

FMplex: Model Virtualization for Serving Extensible Foundation Models

Hetvi Shastri, Pragya Sharma, Walid A. Hanafy +3

Foundation models (FMs) are increasingly used as backbones for downstream tasks across language, vision, time-series, and multimodal applications. Yet existing model-serving system…

cs.DC2026

Collaborative Processing for Multi-Tenant Inference on Memory-Constrained Edge TPUs

Nathan Ng, Walid A. Hanafy, Prashanthi Kadambi +5

IoT applications increasingly rely on on-device AI accelerators to ensure high performance, especially in low-connectivity and safety-critical scenarios. However, the limited on-ch…

cs.DC2025

CarbonEdge: Leveraging Mesoscale Spatial Carbon-Intensity Variations for Low Carbon Edge Computing

Li Wu, Walid A. Hanafy, Abel Souza +5

The proliferation of latency-critical and compute-intensive edge applications is driving increases in computing demand and carbon emissions at the edge. To better understand carbon…

cs.DC2025

FailLite: Failure-Resilient Model Serving for Resource-Constrained Edge Environments

Li Wu, Walid A. Hanafy, Tarek Abdelzaher +3

Model serving systems have become popular for deploying deep learning models for various latency-sensitive inference tasks. While traditional replication-based methods have been us…

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