Demo Data from EDBT 2026 / reviewers in the wild / expert
Mayur Harne
dblp:168/2625
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2015
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1
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 · 70% Interconnection networks and networks-on-chip · 23% Energy-efficient computing · 7% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Memory systems
cache design |
0.2 | 1 | 2015 | FP-NUCA: A Fast NOC Layer for Implementing Large NUCA Caches · IEEE Trans. Parallel Distributed Syst. 2015 |
Memory systems › memory hierarchy › cache hierarchy
last-level cache |
0.2 | 1 | 2015 | FP-NUCA: A Fast NOC Layer for Implementing Large NUCA Caches · IEEE Trans. Parallel Distributed Syst. 2015 |
Memory systems › cache design
non-uniform cache architecture |
0.2 | 1 | 2015 | FP-NUCA: A Fast NOC Layer for Implementing Large NUCA Caches · IEEE Trans. Parallel Distributed Syst. 2015 |
Interconnection networks and networks-on-chip
router architecture |
0.2 | 1 | 2015 | FP-NUCA: A Fast NOC Layer for Implementing Large NUCA Caches · IEEE Trans. Parallel Distributed Syst. 2015 |
Energy-efficient computing
power management |
0.1 | 1 | 2015 | FP-NUCA: A Fast NOC Layer for Implementing Large NUCA Caches · IEEE Trans. Parallel Distributed Syst. 2015 |
Methods — techniques the papers use, named apart from their topics
co-design · 0.2VHDL implementation · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | FP-NUCA: A Fast NOC Layer for Implementing Large NUCA CachesabstractNUCA caches have traditionally been proposed as a solution for mitigating wire delays, and delays introduced due to complex networks on chip. Traditional approaches have reported significant performance gains with intelligent block placement, location, replication, and migration schemes. In this paper, we propose a novel approach in this space, called FP-NUCA. It differs from conventional approaches, and relies on a novel method of co-designing the last level cache and the network on chip. We artificially constrain the communication pattern in the NUCA cache such that all the messages travel along a few predefined paths (fast paths) for each set of banks. We leverage this communication pattern by designing a new type of NOC router called the Freeze router, which augments a regular router by adding a layer of circuitry that gates the clock of the regular router when there is a fast path message waiting to be transmitted. Messages along the fast path do not require buffering, switching, or routing. We incorporate a bank predictor with our novel NOC for reducing the number of messages, and resultant energy consumption. We compare our performance with state of the art protocols, and report speedups of up to 31 percent (mean: 6.3 percent), and ED2 reduction up to 46 percent (mean: 10.4 percent) for a suite of Splash and Parsec benchmarks. We implement the Freeze router in VHDL and show that the additional fast path logic has minimal area and timing overheads. Anuj Arora, Mayur Harne, Hameedah Sultan, Akriti Bagaria, Smruti R. Sarangi |
IEEE Trans. Parallel Distributed Syst. | 2 |