Demo Data from VLDB 2026 / reviewers in the wild / expert
Narasimha Adiga
dblp:270/3902
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2020
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1 · 1 first-authorSoftware engineering, systems software and programming languages · 1 · 1 first-author
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 |
Processor architecture and microarchitecture · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Processor architecture and microarchitecture
branch prediction |
0.4 | 1 | 2020 | The IBM z15 High Frequency Mainframe Branch Predictor Industrial Product · ISCA 2020 |
Processor architecture and microarchitecture › pipelining
pipelined processor |
0.1 | 1 | 2020 | The IBM z15 High Frequency Mainframe Branch Predictor Industrial Product · ISCA 2020 |
Methods — techniques the papers use, named apart from their topics
verification methodology · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | The IBM z15 High Frequency Mainframe Branch Predictor Industrial ProductabstractThe design of the modern, enterprise-class IBM z15 branch predictor is described. Implemented as a multilevel look-ahead structure, the branch predictor is capable of predicting branch direction and target addresses, augmented with multiple auxiliary direction, target, and power predictors. Predictions are made asynchronously, and later integrated into the processor pipeline. The design is optimized for the unique workloads executed on these enterprise-class systems, including compute intensive and both large instruction and data footprint workloads. This paper highlights the major operations and functions of the IBM z15 branch predictor, including its pipeline, prediction structures and verification methodology. Explanations as to how the design matured to its current state are also provided. Narasimha Adiga, James Bonanno, Adam Collura, Matthias Heizmann, Brian R. Prasky, Anthony Saporito |
ISCA | 1 |