Greg Ganger
Scholar

Greg Ganger

Google Scholar ID: l6oz33MAAAAJ
Jatras Professor, Carnegie Mellon University
Citations & Impact
All-time
Citations
8,808
 
H-index
43
 
i10-index
95
 
Publications
20
 
Co-authors
0
 
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Awards include 2021 OSDI Best Paper, 2021 SOSP Best Paper, 2021 SoCC Test of Time award, and a 2021 R&D 100 award.
Research Experience
  • JATRAS Professor, ECE, and Director of the Parallel Data Lab at Carnegie Mellon University. Collaborates with industry partners and other members on several research projects such as Big Learning (Systems for ML), CILES (Improving Latency & Efficiency at Scale), Cost-efficient Computing in the Cloud, Data Lake Scheduling, HeART (Disk-adaptive redundancy in distributed storage), Mimir: Navigating cloud storage, and Zoned Storage.
Background
  • Broad research interests in computer systems, including storage/file systems, cloud computing, software systems for large-scale machine learning, distributed systems, and operating systems. Most of the current research explores these topics in the broad context of storage systems and large-scale infrastructures.
Miscellany
  • Enjoys skiing, hiking, surfing, and playing basketball.
Co-authors
0 total
Co-authors: 0 (list not available)