Demo Data from SIGIR 2026 / reviewers in the wild / expert
Yohei M. Koyama
dblp:304/5938
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 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 |
High-performance computing · 67% Reconfigurable computing and FPGAs · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
High-performance computing › fast fourier transform
3D FFT |
0.5 | 1 | 2021 | Hardware acceleration of tensor-structured multilevel ewald summation method on MDGRAPE-4A, a special-purpose computer system for molecular dynamics simulations · SC 2021 |
Reconfigurable computing and FPGAs
FPGA accelerator |
0.5 | 1 | 2021 | Hardware acceleration of tensor-structured multilevel ewald summation method on MDGRAPE-4A, a special-purpose computer system for molecular dynamics simulations · SC 2021 |
High-performance computing › scientific computing systems
molecular dynamics simulation |
0.5 | 1 | 2021 | Hardware acceleration of tensor-structured multilevel ewald summation method on MDGRAPE-4A, a special-purpose computer system for molecular dynamics simulations · SC 2021 |
Methods — techniques the papers use, named apart from their topics
tensor-structured multilevel ewald summation · 0.5octree network · 0.53D FFT · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Hardware acceleration of tensor-structured multilevel ewald summation method on MDGRAPE-4A, a special-purpose computer system for molecular dynamics simulationsabstractWe developed MDGRAPE-4A, a special-purpose computer system for molecular dynamics simulations, consisting of 512 nodes of custom system-on-a-chip LSIs with dedicated processor cores and interconnects designed to achieve strong scalability for biomolecular simulations. To reduce the global communications required for the evaluation of Coulomb interactions, we conducted a co-design of the MDGRAPE-4A and the novel algorithm, tensor-structured multilevel Ewald summation method (TME), which produced hardware modules on the custom LSI circuit for particle-grid operations and for grid-grid separable convolutions on a 3D torus network. We implemented the convolution for the top-level grid potentials by using 3D FFTs on an FPGA, along with an FPGA-based octree network to gather grid charges. The elapsed time for the long-range part of Coulomb is 50 μs, which can mostly overlap with those for the short-range part, and the additional cost is approximately 10 μs/step, which is only a 5% performance loss. Gentaro Morimoto, Yohei M. Koyama, Teruhisa S. Komatsu, Yousuke Ohno, Keigo Nishida, Itta Ohmura, Hiroshi Koyama, Makoto Taiji |
SC | 2 |