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Dmitry Alexeev

dblp:169/1789 · DBLP profile ↗
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2ranked-venue papers
0as first author
1since 2021 · last 2025
0000-0002-6425-2181ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 2 · 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
2 papers
High-performance computing · 64% GPUs and heterogeneous computing · 36%
Interdisciplinary, comprehensive, and emerging computing
2 papers
Computational science and engineering · 100%

Topics — the 4 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
GPUs and heterogeneous computing › GPU-accelerated scientific computing
GPU-accelerated simulation
0.912025
Computing the Full Earth System at 1km Resolution · SC 2025
High-performance computing › large-scale simulation
extreme-scale simulation
0.212015
The in-silico lab-on-a-chip: petascale and high-throughput simulations of microfluidics at cell resolution · SC 2015
High-performance computing › supercomputing
petascale computing
0.212015
The in-silico lab-on-a-chip: petascale and high-throughput simulations of microfluidics at cell resolution · SC 2015
High-performance computing
scientific computing systems
0.212015
The in-silico lab-on-a-chip: petascale and high-throughput simulations of microfluidics at cell resolution · SC 2015

Methods — techniques the papers use, named apart from their topics

separation of concerns · 1.7heterogeneous acceleration · 1.7code optimization · 1.7subcellular resolution simulation · 0.4performance optimization · 0.4
YearPublicationVenuePosition
2025 Computing the Full Earth System at 1km Resolution
abstract
We present the first-ever global simulation of the full Earth system at 1.25 km grid spacing, achieving highest time compression with an unseen number of degrees of freedom. Our model captures the flow of energy, water, and carbon through key components of the Earth system: atmosphere, ocean, and land. To achieve this landmark simulation, we harness the power of 8192 GPUs on Alps and 20480 GPUs on JUPITER, two of the world’s largest GH200 superchip installations. We use both the Grace CPUs and Hopper GPUs by carefully balancing Earth’s components in a heterogeneous setup and optimizing acceleration techniques available in ICON’s codebase. We show how separation of concerns can reduce the code complexity by half while increasing performance and portability. Our achieved time compression of 145.7 simulated days per day enables long studies including full interactions in the Earth system and even outperforms earlier atmosphere-only simulations at a similar resolution.
Daniel Klocke, Claudia Frauen, Jan Frederik Engels, Dmitry Alexeev, René Redler, Reiner Schnur, Helmuth Haak, Luis Kornblueh, Nils Brüggemann, Fatemeh Chegini, Manoel Römmer, Lars Hoffmann, Sabine Griessbach, Mathis Bode, Jonathan Coles, Miguel Gila, William Sawyer, Alexandru Calotoiu, Yakup Budanaz, Pratyai Mazumder, Marcin Copik, Benjamin Weber, Andreas Herten, Hendryk Bockelmann, Torsten Hoefler, Cathy Hohenegger, Bjorn Stevens
SC4
2015 The in-silico lab-on-a-chip: petascale and high-throughput simulations of microfluidics at cell resolution
abstract
We present simulations of blood and cancer cell separation in complex microfluidic channels with subcellular resolution, demonstrating unprecedented time to solution, performing at 65.5% of the available 39.4 PetaInstructions/s in the 18, 688 nodes of the Titan supercomputer.
Diego Rossinelli, Yu-Hang Tang, Kirill Lykov, Dmitry Alexeev, Massimo Bernaschi, Panagiotis Hadjidoukas, Mauro Bisson, Wayne Joubert, Christian Conti, George Em Karniadakis, Massimiliano Fatica, Igor Pivkin, Petros Koumoutsakos
SC4