◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

J. Doppa

25 papers hereh-index 323.3k citations192 works total

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

author position
  • middle author14
  • last author9

Across the 23 of 25 papers where every author was matched, so the position is known.

fields
  • cs.LG9
  • cs.AR4
  • cs.AI3
  • cs.DC3
  • cs.CV2
  • cs.CL1

identity via Semantic Scholar / OpenAlex

activity
20172025
most citedOn-Chip Communication Network for Efficient Training of Deep Convolutional Networks on Heterogeneous Manycore Systems

79 citations · 172 across the 14 of their papers we have counts for

collaborators
Showing cs.DCShow all

3 papers · 1 filter

cs.DC2020

An Energy-Aware Online Learning Framework for Resource Management in Heterogeneous Platforms

Sumit K. Mandal, Ganapati Bhat, Janardhan Rao Doppa +2

Mobile platforms must satisfy the contradictory requirements of fast response time and minimum energy consumption as a function of dynamically changing applications. To address thi…

cs.DC2018

Learning-based Application-Agnostic 3D NoC Design for Heterogeneous Manycore Systems

Biresh Kumar Joardar, Ryan Gary Kim, Janardhan Rao Doppa +3

The rising use of deep learning and other big-data algorithms has led to an increasing demand for hardware platforms that are computationally powerful, yet energy-efficient. Due to…

cs.DC2017★ 79 cited

On-Chip Communication Network for Efficient Training of Deep Convolutional Networks on Heterogeneous Manycore Systems

Wonje Choi, Karthi Duraisamy, Ryan Gary Kim +4

Convolutional Neural Networks (CNNs) have shown a great deal of success in diverse application domains including computer vision, speech recognition, and natural language processin…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.