Demo Data from EDBT 2026 / reviewers in the wild / expert
Omkar Phadke
dblp:300/8841
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2026
0000-0001-5606-6242ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 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 |
Memory systems · 61% Integrated circuit design · 30% Performance modeling and evaluation · 9% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Memory systems
cache |
1.0 | 1 | 2026 | Optimization and Benchmarking of Monolithically Stackable Gain Cell Memory for Last-Level Cache · IEEE Trans. Computers 2026 |
Memory systems › memory hierarchy › cache hierarchy
last-level cache |
1.0 | 1 | 2026 | Optimization and Benchmarking of Monolithically Stackable Gain Cell Memory for Last-Level Cache · IEEE Trans. Computers 2026 |
Integrated circuit design › 3d integration
monolithic 3d integration |
1.0 | 1 | 2026 | Optimization and Benchmarking of Monolithically Stackable Gain Cell Memory for Last-Level Cache · IEEE Trans. Computers 2026 |
Methods — techniques the papers use, named apart from their topics
gem5 simulation · 1.0NS-Cache modeling · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Optimization and Benchmarking of Monolithically Stackable Gain Cell Memory for Last-Level CacheabstractThe Last Level Cache (LLC) is the processor’s critical bridge between on-chip and off-chip memory levels - optimized for high density, high bandwidth, and low operation energy. To date, high-density (HD) SRAM has been the conventional device of choice; however, with the slowing of transistor scaling, as reflected in the industry’s almost identical HD SRAM cell size from 5 nm to 3 nm, alternative solutions such as 3D stacking with advanced packaging (i.e., hybrid bonding) are pursued (as demonstrated in AMD’s V-cache). Escalating data demands necessitate ultra-large on-chip caches to decrease costly off-chip memory movement, pushing the exploration of device technology towards monolithic 3D (M3D) integration, where transistors can be stacked in the back-end-of-line (BEOL) at the interconnect level. M3D integration requires fabrication techniques compatible with a low thermal budget (seconds) when used in a gain-cell configuration. This paper examines device, circuit, and system-level tradeoffs made when optimizing BEOL-compatible AOS-based 2-transistor gain cells (2T-GC) for LLC. A cache early-exploration tool, NS-Cache, is developed to model caches in advanced 7 & 3 nm nodes and is integrated with the Gem5 simulator to systematically benchmark the impact of the newfound density/performance when compared to HD-SRAM, MRAM, and 1T1C eDRAM alternatives for LLC. Faaiq G. Waqar, Jungyoun Kwak, Omkar Phadke, Minji Shon, MohammadHosein Gholamrezaei, Kevin Skadron, Shimeng Yu |
IEEE Trans. Computers | 4 |