Demo Data from VLDB 2026 / reviewers in the wild / expert
Pranjali Jain
dblp:251/3153
· DBLP profile ↗
3ranked-venue papers
1as first author
2since 2021 · last 2025
0000-0003-2587-2027ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Systems, architecture and hardware · 1 · 1 since 2021Databases, data management, data science and information retrieval · 1Human-computer interaction and ubiquitous computing · 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 |
Memory systems · 50% Integrated circuit design · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Memory systems › memory hierarchy
cache hierarchy |
0.7 | 1 | 2023 | HyGain: High-performance, Energy-efficient Hybrid Gain Cell-based Cache Hierarchy · ACM Trans. Archit. Code Optim. 2023 |
Integrated circuit design
low-power circuit design |
0.7 | 1 | 2023 | HyGain: High-performance, Energy-efficient Hybrid Gain Cell-based Cache Hierarchy · ACM Trans. Archit. Code Optim. 2023 |
Methods — techniques the papers use, named apart from their topics
staggered refresh · 0.7half VDD precharge · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Empowering E-Waste Recycling with Intelligent PCB Component Detection
Pranjali Jain, Madison Long, Claire Pemberton, Mariana Rosillo, Samantha West, Jonathan Balkind, Timothy Sherwood |
COMPASS | 1 |
| 2023 | HyGain: High-performance, Energy-efficient Hybrid Gain Cell-based Cache HierarchyabstractIn this article, we propose a “full-stack” solution to designing high-apacity and low-latency on-chip cache hierarchies by starting at the circuit level of the hardware design stack. We propose a novel half V DD precharge 2T Gain Cell (GC) design for the cache hierarchy. The GC has several desirable characteristics, including ~50% higher storage density and ~50% lower dynamic energy as compared to the traditional 6T SRAM, even after accounting for peripheral circuit overheads. We also demonstrate data retention time of 350 us (~17.5× of eDRAM) at 28 nm technology with V DD = 0.9V and temperature = 27°C that, combined with optimizations like staggered refresh, makes it an ideal candidate to architect all levels of on-chip caches. We show that compared to 6T SRAM, for a given area budget, GC-based caches, on average, provide 30% and 36% increase in IPC for single- and multi-programmed workloads, respectively, on contemporary workloads, including SPEC CPU 2017. We also observe dynamic energy savings of 42% and 34% for single- and multi-programmed workloads, respectively. Finally, in a quest to utilize the best of all worlds, we combine GC with STT-RAM to create hybrid hierarchies. We show that a hybrid hierarchy with GC caches at L1 and L2 and an LLC split between GC and STT-RAM is able to provide a 46% benefit in energy-delay product (EDP) as compared to an all-SRAM design, and 13% as compared to an all-GC cache hierarchy, averaged across multi-programmed workloads. Sarabjeet Singh, Neelam Surana, Kailash Prasad, Pranjali Jain, Joycee Mekie, Manu Awasthi |
ACM Trans. Archit. Code Optim. | 4 |
| 2020 | NLPExplorer: Exploring the Universe of NLP Papers
Monarch Parmar, Naman Jain, Pranjali Jain, P. Jayakrishna Sahit, Soham Pachpande, Shruti Singh 0001, Mayank Singh 0001 |
ECIR (2) | 3 |