EDBT 2026 Demo / reviewers in the wild / expert
Shobhit Jagga
dblp:284/4472
· DBLP profile ↗
3ranked-venue papers
2as first author
2since 2021 · last 2021
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 2 · 1 first-author · 1 since 2021Applied, interdisciplinary, general and emerging computing · 2 · 1 first-author · 1 since 2021Systems, architecture and hardware · 1 · 1 first-author · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Performance modeling and evaluation · 50% Memory systems · 25% Parallel and multicore computing · 25% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Memory systems › cache › cache behavior
cache miss analysis |
0.1 | 1 | 2021 | Parallel Program Scaling Analysis using Hardware Counters · HPDC 2021 |
Performance modeling and evaluation › performance monitoring
hardware performance counters |
0.1 | 1 | 2021 | Parallel Program Scaling Analysis using Hardware Counters · HPDC 2021 |
Parallel and multicore computing › parallel programming models › message passing
MPI applications |
0.1 | 1 | 2021 | Parallel Program Scaling Analysis using Hardware Counters · HPDC 2021 |
Performance modeling and evaluation › parallel system performance
strong and weak scaling |
0.1 | 1 | 2021 | Parallel Program Scaling Analysis using Hardware Counters · HPDC 2021 |
Methods — techniques the papers use, named apart from their topics
hardware counters · 0.5correlation analysis · 0.5clustering · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Modeling procrastination as rational metareasoning about task effort
Shobhit Jagga, Narayanan Srinivasan 0001, Nisheeth Srivastava |
CogSci | 1 |
| 2021 | Parallel Program Scaling Analysis using Hardware CountersabstractWe present a lightweight library that automatically collects several hardware counters for MPI applications. We analyze the effect of strong and weak scaling on the counters. We first correlate the counter values obtained from each process count, and then cluster the counters to identify counters that are affected similarly due to scaling. We noted that the effect of last-level cache misses is more pronounced for some applications such as miniFE. Shobhit Jagga, Preeti Malakar |
HPDC | 1 |
| 2020 | Inducing preference reversals by manipulating revealed preferences
Harish Balakrishnan, Shobhit Jagga, Nisheeth Srivastava |
CogSci | 2 |