Demo Data from EDBT 2026 / reviewers in the wild / expert
Vasilis Spiliopoulos
dblp:320/8156
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none
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 · 87% Hardware accelerators and domain-specific architectures · 13% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Memory systems
memory bandwidth |
0.6 | 1 | 2022 | GBDI: Going Beyond Base-Delta-Immediate Compression with Global Bases · HPCA 2022 |
Memory systems
memory compression |
0.6 | 1 | 2022 | GBDI: Going Beyond Base-Delta-Immediate Compression with Global Bases · HPCA 2022 |
Hardware accelerators and domain-specific architectures › domain-specific accelerator
compression accelerator |
0.2 | 1 | 2022 | GBDI: Going Beyond Base-Delta-Immediate Compression with Global Bases · HPCA 2022 |
Methods — techniques the papers use, named apart from their topics
clustering algorithm · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | GBDI: Going Beyond Base-Delta-Immediate Compression with Global BasesabstractMemory bandwidth is limiting performance for many emerging applications. While compression techniques can unlock a higher memory bandwidth, prior art offers only modestly better bandwidth. This paper contributes with a new compression method – Global Base Delta Immediate compression (GBDI) – that offers substantially higher memory bandwidth by, unlike prior art, selecting base values across memory blocks. GBDI uses a novel clustering algorithm through data analysis in the background. The presented accelerator infrastructure offers low area overhead and latency. This paper shows that GBDI offers a compression ratio of 2.3×, and yields 1.5× higher bandwidth and 1.1× higher performance compared with a baseline without compression support, on average, for SPEC2017 benchmarks requiring medium to high memory bandwidth. Alexandra Angerd, Angelos Arelakis, Vasilis Spiliopoulos, Erik Sintorn, Per Stenström |
HPCA | 3 |