Demo Data from VLDB 2026 / reviewers in the wild / expert
Lief O'Donnell
dblp:85/10371
· DBLP profile ↗
3ranked-venue papers
0as first author
2since 2021 · last 2021
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 3 · 2 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 |
High-performance computing · 67% Hardware accelerators and domain-specific architectures · 33% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computational science and engineering · 50% Bioinformatics and computational biology · 50% |
Topics — the 5 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Hardware accelerators and domain-specific architectures › scientific computing accelerator
molecular dynamics accelerator |
0.5 | 1 | 2021 | Anton 3: twenty microseconds of molecular dynamics simulation before lunch · SC 2021 |
High-performance computing › scientific computing systems
molecular dynamics simulation |
0.5 | 1 | 2021 | Anton 3: twenty microseconds of molecular dynamics simulation before lunch · SC 2021 |
High-performance computing
scientific computing systems |
0.5 | 1 | 2021 | Anton 3: twenty microseconds of molecular dynamics simulation before lunch · SC 2021 |
Bioinformatics and computational biology › molecular informatics › molecular modeling
biomolecular simulation |
0.1 | 1 | 2021 | Anton 3: twenty microseconds of molecular dynamics simulation before lunch · SC 2021 |
Computational science and engineering › computational chemistry
molecular simulation |
0.1 | 1 | 2021 | Anton 3: twenty microseconds of molecular dynamics simulation before lunch · SC 2021 |
Methods — techniques the papers use, named apart from their topics
custom chip design · 1.0application-specific hardware · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | The ΛNTON 3 ASIC: a Fire-Breathing Monster for Molecular Dynamics Simulationsabstract• Understand biomolecular systems through their motions •Numerical integration of Newton's laws of motion — Model atoms as point masses — Compute forces on every atom based on current positions — Update atom velocities and positions in discrete time steps of a few femtoseconds • Force computation described by a model: the force field Peter J. Adams, Brannon Batson, Alistair Bell, Jhanvi Bhatt, J. Adam Butts, Timothy Correia, Bruce Edwards, Peter Feldmann, Christopher H. Fenton, Anthony Forte, Joseph Gagliardo, Gennette Gill, Maria Gorlatova, Brian Greskamp, J. P. Grossman, Jeremy Hunt, Bryan L. Jackson, Mollie M. Kirk, Jeffrey Kuskin, Roy J. Mader, Richard McGowen, Adam McLaughlin, Mark A. Moraes, Mohamed Nasr, Lawrence J. Nociolo, Lief O'Donnell, Jon L. Peticolas, Terry Quan, T. Carl Schwink, Keun Sup Shim, Naseer Siddique, Jochen Spengler, Michael Theobald, Brian Towles, William Vick, Stanley C. Wang, Michael E. Wazlowski, Madeleine J. Weingarten, John M. Williams, David E. Shaw |
HCS | 26 |
| 2021 | Anton 3: twenty microseconds of molecular dynamics simulation before lunchabstractAnton 3 is the newest member in a family of supercomputers specially designed for atomic-level simulation of molecules relevant to biology (e.g., DNA, proteins, and drug molecules). Anton 3 achieves order-of-magnitude improvements in time-to-solution over its predecessor, Anton 2 (the current state of the art), and is over 100-fold faster than any other currently available supercomputer, thereby enabling broad new avenues of research on critical questions in biology and drug discovery. This speedup means that a 512-node Anton 3 simulates a million atoms at over 100 microseconds per day. Furthermore, Anton 3 attains this performance while consuming an order of magnitude less energy per simulated microsecond than any other machine. Like its predecessors, Anton 3 was designed from the ground up around a new custom chip to best exploit the capabilities offered by new technologies. We present here the main architectural and algorithmic developments that were necessary to achieve such significant advances. David E. Shaw, Peter J. Adams, Asaph Azaria, Joseph A. Bank, Brannon Batson, Alistair Bell, Michael Bergdorf, Jhanvi Bhatt, J. Adam Butts, Timothy Correia, Robert M. Dirks, Ron O. Dror, Michael P. Eastwood, Bruce Edwards, Amos Even, Peter Feldmann, Michael Fenn, Christopher H. Fenton, Anthony Forte, Joseph Gagliardo, Gennette Gill, Maria Gorlatova, Brian Greskamp, J. P. Grossman, Justin Gullingsrud, Anissa Harper, William Hasenplaugh, Mark Heily, Benjamin Colin Heshmat, Jeremy Hunt, Doug Ierardi, Lev Iserovich, Bryan L. Jackson, Nick P. Johnson, Mollie M. Kirk, John L. Klepeis, Jeffrey Kuskin, Kenneth M. Mackenzie, Roy J. Mader, Richard McGowen, Adam McLaughlin, Mark A. Moraes, Mohamed H. Nasr, Lawrence J. Nociolo, Lief O'Donnell, Jon L. Peticolas, Goran Pocina, Cristian Predescu, Terry Quan, John K. Salmon, Carl Schwink, Keun Sup Shim, Naseer Siddique, Jochen Spengler, Tamas Szalay, Raymond Tabladillo, Reinhard Tartler, Andrew G. Taube, Michael Theobald, Brian Towles, William Vick, Stanley C. Wang, Michael Wazlowski, Madeleine J. Weingarten, John M. Williams, Kevin A. Yuh |
SC | 45 |
| 2011 | High Productivity Circuit Methodology for a Semi-Custom Embedded ProcessorabstractA high productivity methodology for implementing custom circuit blocks inside a synthesized microprocessor is presented. A cell-based design style and script-based preroutes are used with a commercial place and route tool, enabling fast layout for custom blocks. The design methodology supports domino logic, register files, and random logic designs. A semi-custom MIPS microprocessor targeted for the high-volume consumer electronics market is implemented with this methodology. David Kidd, Keven Dunn, Steve Nishimoto, Lief O'Donnell, Daniel Rodriguez |
IEEE Trans. Very Large Scale Integr. Syst. | 4 |