EDBT 2026 Demo / reviewers in the wild / expert
Artem Aleksandrovich Andreev
dblp:210/8869
· DBLP profile ↗
2ranked-venue papers
2as first author
0since 2021 · last 2018
0000-0003-0455-8645ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 2 · 2 first-authorApplied, interdisciplinary, general and emerging computing · 1 · 1 first-author
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 |
Energy-efficient computing · 60% Processor architecture and microarchitecture · 20% Performance modeling and evaluation · 20% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Processor architecture and microarchitecture
chip multiprocessor |
0.3 | 1 | 2018 | PowerCool: Simulation of Cooling and Powering of 3D MPSoCs with Integrated Flow Cell Arrays · IEEE Trans. Computers 2018 |
Energy-efficient computing › thermal management
liquid cooling |
0.3 | 1 | 2018 | PowerCool: Simulation of Cooling and Powering of 3D MPSoCs with Integrated Flow Cell Arrays · IEEE Trans. Computers 2018 |
Energy-efficient computing
power delivery |
0.3 | 1 | 2018 | PowerCool: Simulation of Cooling and Powering of 3D MPSoCs with Integrated Flow Cell Arrays · IEEE Trans. Computers 2018 |
Performance modeling and evaluation
simulation |
0.3 | 1 | 2018 | PowerCool: Simulation of Cooling and Powering of 3D MPSoCs with Integrated Flow Cell Arrays · IEEE Trans. Computers 2018 |
Energy-efficient computing
thermal management |
0.3 | 1 | 2018 | PowerCool: Simulation of Cooling and Powering of 3D MPSoCs with Integrated Flow Cell Arrays · IEEE Trans. Computers 2018 |
Methods — techniques the papers use, named apart from their topics
subthreshold leakage estimation · 0.3electrochemical modeling · 0.3compact thermal modeling · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | Design Optimization of 3D Multi-Processor System-on-Chip with Integrated Flow Cell ArraysabstractIntegrated flow cell array (FCA) is an emerging technology, targeting the cooling and power delivery challenges of modern 2D/3D Multi-Processor Systems-on-Chip (MPSoCs). In FCA, electrolytic solutions are pumped through microchannels etched in the silicon of the chips, removing heat from the system, while, at the same time, generating power on-chip. In this work, we explore the impact of FCA system design on various 3D architectures and propose a methodology to optimize a 3D MPSoC with integrated FCA to run a given workload in the most energy-efficient way. Our results show that an optimized configuration can save up to 50% energy with respect to sub-optimal 3D MPSoC configurations. Artem Aleksandrovich Andreev, Fulya Kaplan, Marina Zapater, Ayse K. Coskun, David Atienza 0001 |
ISLPED | 1 |
| 2018 | PowerCool: Simulation of Cooling and Powering of 3D MPSoCs with Integrated Flow Cell ArraysabstractIntegrated Flow-Cell Arrays (FCAs) represent a combination of integrated liquid cooling and on-chip power generation, converting chemical energy of the flowing electrolyte solutions to electrical energy. The FCA technology provides a promising way to address both heat removal and power delivery issues in 3D Multiprocessor Systems-on-Chips (MPSoCs). In this paper we motivate the benefits of FCA in 3D MPSoCs via a qualitative analysis and explore the capabilities of the proposed technology using our extended PowerCool simulator. PowerCool is a tool that performs combined compact thermal and electrochemical simulation of 3D MPSoCs with inter-tier FCA-based cooling and power generation. We validate our electrochemical model against experimental data obtained using a micro-scale FCA, and extend PowerCool with a compact thermal model (3D-ICE) and subthreshold leakage estimation. We show the sensitivity of the FCA cooling and power generation on the design-time (FCA geometry) and run-time (fluid inlet temperature, flow rate) parameters. Our results show that we can optimize the FCA to keep maximum chip temperature below 95 °C for an average chip power consumption of 50 W/cm2while generating up to 3.6 W per cm2of chip area. Artem Aleksandrovich Andreev, Arvind Sridhar, Mohamed M. Sabry, Marina Zapater, Patrick W. Ruch, Bruno Michel, David Atienza 0001 |
IEEE Trans. Computers | 1 |