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researcher

Vikram Sharma Mailthody

4 papers here

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

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.DC2
  • cs.AR1
  • cs.CR1

identity via Semantic Scholar / OpenAlex

most citedTearing Down the Memory Wall

6 citations · 6 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CR2021

Safer Illinois and RokWall: Privacy Preserving University Health Apps for COVID-19

Vikram Sharma Mailthody, James Wei, Nicholas Chen +14

COVID-19 has fundamentally disrupted the way we live. Government bodies, universities, and companies worldwide are rapidly developing technologies to combat the COVID-19 pandemic a…

cs.AR2020★ 6 cited

Tearing Down the Memory Wall

Zaid Qureshi, Vikram Sharma Mailthody, Seung Won Min +3

We present a vision for the Erudite architecture that redefines the compute and memory abstractions such that memory bandwidth and capacity become first-class citizens along with c…

cs.DC2020

At-Scale Sparse Deep Neural Network Inference with Efficient GPU Implementation

Mert Hidayetoglu, Carl Pearson, Vikram Sharma Mailthody +4

This paper presents GPU performance optimization and scaling results for inference models of the Sparse Deep Neural Network Challenge 2020. Demands for network quality have increas…

cs.DC2020

EMOGI: Efficient Memory-access for Out-of-memory Graph-traversal In GPUs

Seung Won Min, Vikram Sharma Mailthody, Zaid Qureshi +3

Modern analytics and recommendation systems are increasingly based on graph data that capture the relations between entities being analyzed. Practical graphs come in huge sizes, of…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.