VLDB 2026 Research / reviewers in the wild / expert
Rahul Mathur
dblp:271/4569
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2023
0000-0002-8064-5612ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 2 · 2 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 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 |
Integrated circuit design · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Integrated circuit design › technology scaling
CMOS scaling |
0.7 | 1 | 2023 | Invited: Buried Power Rails and Back-side Power Grids: Prospects and Challenges · DAC 2023 |
Integrated circuit design
power delivery network |
0.7 | 1 | 2023 | Invited: Buried Power Rails and Back-side Power Grids: Prospects and Challenges · DAC 2023 |
Methods — techniques the papers use, named apart from their topics
system-level evaluation · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Invited: Buried Power Rails and Back-side Power Grids: Prospects and ChallengesabstractBuried power rails and back-side power grids are promising technology-scaling boosters for advanced CMOS technology nodes. System-level evaluation of these technologies shows tremendous promise from power-performance-area (PPA), IR drop, and dynamic voltage droop perspective. However, several process, device, and architectural challenges must be addressed to realize the full potential of this technology. This article reviews the advancements and challenges in successfully adopting buried power rail and back-side power grid technology. S. S. Teja Nibhanupudi, Sirish Oruganti, Rahul Mathur, Meizhi Wang, Jaydeep P. Kulkarni |
DAC | 3 |
| 2021 | Power Delivery and Thermal-Aware Arm-Based Multi-Tier 3D Architectureabstract3D integration is becoming a cost-effective way to incorporate more CPU cores and memory to improve the performance of computing systems. Meanwhile, due to the higher power density, power delivery and thermal issues become more significant in multi-tier 3DICs. In this paper, we explore and evaluate multiple design options for an Arm Neoverse-based 3D architecture focusing on power and thermals at 7nm process and sub-10$\mu $m pitch. Using a rapid voltage-drop and thermal analysis methodology, we model a system with a 32-core CPU layer and up to 4 layers of system-level caches, and quantity the trade-offs between performance, cost, voltage-drop, and temperature. A 3-layer configuration shows a good balance with 17% IPC gain and 17% lower cost, while incurring 15mV worse voltage drop and 8.5°C higher temperature compared with 2D. Our studies suggest that the co-optimization of system architecture, technology, and physical design is key for high-performance 3D systems. Lingjun Zhu, Tuan Ta, Rossana Liu, Rahul Mathur, Shidhartha Das, Ankit Kaul, Alejandro Rico, Doug Joseph, Brian Cline, Sung Kyu Lim |
ISLPED | 4 |