Demo Data from VLDB 2026 / reviewers in the wild / expert
Youssef Hammad
dblp:67/6998
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2024
0000-0001-6622-1971ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 1 · 1 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 |
Memory systems · 81% Reconfigurable computing and FPGAs · 19% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Memory systems
memory bandwidth management |
0.8 | 1 | 2024 | Coherence-Aided Memory Bandwidth Regulation · RTSS 2024 |
Memory systems
cache coherence |
0.2 | 1 | 2024 | Coherence-Aided Memory Bandwidth Regulation · RTSS 2024 |
Reconfigurable computing and FPGAs › FPGA-based heterogeneous computing
CPU-FPGA platform |
0.2 | 1 | 2024 | Coherence-Aided Memory Bandwidth Regulation · RTSS 2024 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Coherence-Aided Memory Bandwidth RegulationabstractWith the increasing adoption of PS-PL (Processor System-Programmable Logic) platforms, also known as CPU+FPGA systems, there arises a need for efficient resource management strategies. This work explores memory bandwidth regulation in such systems, leveraging the capabilities of tightly coupled FPGAs to offer elegant, low-overhead solutions with highly flexible regulation policies. We introduce MemCoRe, a novel approach that exploits the FPGA’s interaction with cache coherence interfaces and cross-trigger signals to achieve finegrained spatiotemporal awareness of processor activity and software-free control. By comparing MemCoRe with state-of-theart software-based approaches, namely MemGuard and MemPol, we demonstrate significant improvements in regulation precision and overhead reduction. Key contributions include nanosecondscale memory bandwidth regulation, off-core memory bandwidth accounting, address-aware regulation, low-overhead token-bucket regulation, and asymmetric on-off core throttling. Our evaluation on a Xilinx Zynq UltraScale+ ZCU102 CPU+FPGA platform showcases MemCoRe’s capability to regulate memory bandwidth with nanosecond-scale precision. Overall, MemCoRe presents a promising avenue for efficient memory bandwidth regulation in PS-PL platforms, with strong applicability to real-time systems. Ivan Izhbirdeev, Denis Hoornaert, Weifan Chen 0003, Alexander Züpke, Youssef Hammad, Marco Caccamo, Renato Mancuso 0001 |
RTSS | 5 |
| 2022 | SeLoC-ML: Semantic Low-Code Engineering for Machine Learning Applications in Industrial IoT
Kirill Dorofeev, Darko Anicic, Youssef Hammad, Roland Eckl, Thomas A. Runkler |
ISWC | 4 |