EDBT 2026 Demo / reviewers in the wild / expert
Christian Conti
dblp:36/10752
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2015
0009-0000-3813-2912ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 2
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 · 97% Memory systems · 3% |
Topics — the 7 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
High-performance computing
scientific computing systems |
0.4 | 2 | 2015 | The in-silico lab-on-a-chip: petascale and high-throughput simulations of microfluidics at cell resolution · SC 2015 High throughput software for direct numerical simulations of compressible two-phase flows · SC 2012 |
High-performance computing › large-scale simulation
extreme-scale simulation |
0.2 | 1 | 2015 | 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 |
0.2 | 1 | 2015 | 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
computational fluid dynamics |
0.1 | 1 | 2012 | High throughput software for direct numerical simulations of compressible two-phase flows · SC 2012 |
High-performance computing
performance optimization at scale |
0.1 | 1 | 2012 | High throughput software for direct numerical simulations of compressible two-phase flows · SC 2012 |
High-performance computing › code optimization
vectorization |
0.1 | 1 | 2012 | High throughput software for direct numerical simulations of compressible two-phase flows · SC 2012 |
Memory systems
non-uniform memory access |
0.0 | 1 | 2012 | High throughput software for direct numerical simulations of compressible two-phase flows · SC 2012 |
Methods — techniques the papers use, named apart from their topics
subcellular resolution simulation · 0.2performance optimization · 0.2finite volume method · 0.1data reordering · 0.1computation reordering · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | The in-silico lab-on-a-chip: petascale and high-throughput simulations of microfluidics at cell resolutionabstractWe 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 |
SC | 9 |
| 2012 | High throughput software for direct numerical simulations of compressible two-phase flowsabstractWe present an open source, object-oriented software for high throughput Direct Numerical Simulations of compressible, two-phase flows. The Navier-Stokes equations are discretized on uniform grids using high order finite volume methods. The software exploits recent CPU micro-architectures by explicit vectorization and adopts NUMA-aware techniques as well as data and computation reordering. We report a compressible flow solver with unprecedented fractions of peak performance: 45% of the peak for a single node (nominal performance of 840 GFLOP/s) and 30% for a cluster of 47'000 cores (nominal performance of 0.8 PFLOP/s). We suggest that the present work may serve as a performance upper bound, regarding achievable GFLOP/s, for two-phase flow solvers using adaptive mesh refinement. The software enables 3D simulations of shock-bubble interaction including, for the first time, effects of diffusion and surface tension, by efficiently employing two hundred billion computational elements. Babak Hejazialhosseini, Diego Rossinelli, Christian Conti, Petros Koumoutsakos |
SC | 3 |