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Christos Kozyrakis

Stanford University

21 papers hereh-index 8426.2k citations271 works total

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

author position
  • middle author12
  • last author9

Across the 21 of 21 papers where every author was matched, so the position is known.

fields
  • cs.DC9
  • cs.DB4
  • cs.LG4
  • cs.OS2
  • cs.CR1
  • cs.NI1
affiliations
  • Stanford University
Homepage
same name
  • Christos Kozyrakis — 12 papers, h 3
  • Christos Kozyrakis — 5 papers, h 3
  • Christos Kozyrakis — 5 papers, h 1
  • Christos Kozyrakis — 1 paper
  • Christos Kozyrakis — 1 paper
  • Christos Kozyrakis — 1 paper

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

activity
20152026
most citedInterstellar: Using Halide's Scheduling Language to Analyze DNN Accelerators

222 citations · 397 across the 21 of their papers we have counts for

collaborators
Showing cs.DBShow all

4 papers · 1 filter

cs.DB2026

Eiger: An Efficient Library for GPU-based Data Analytics

Bowen Wu, Marko Kabić, Sven Hepkema +3

GPUs have become an increasingly attractive platform for accelerating analytical workloads due to their massive parallelism and high memory bandwidth. Recent studies show that in s…

cs.DB2023★ 4 cited

Zelda: Video Analytics using Vision-Language Models

Francisco Romero, Caleb Winston, Johann Hauswald +2

Advances in ML have motivated the design of video analytics systems that allow for structured queries over video datasets. However, existing systems limit query expressivity, requi…

cs.DB2022★ 1 cited

Transactions Make Debugging Easy

Qian Li, Peter Kraft, Michael Cafarella +6

We propose TROD, a novel transaction-oriented framework for debugging modern distributed web applications and online services. Our critical insight is that if applications store al…

cs.DB2022★ 4 cited

Apiary: A DBMS-Integrated Transactional Function-as-a-Service Framework

Peter Kraft, Qian Li, Kostis Kaffes +16

Developers increasingly use function-as-a-service (FaaS) platforms for data-centric applications that perform low-latency and transactional operations on data, such as for microser…

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