EDBT 2026 Demo / reviewers in the wild / expert
So Hirata
dblp:15/3522
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2005
0000-0002-9578-1502ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1Applied, interdisciplinary, general and emerging computing · 1
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 · 92% Parallel and multicore computing · 8% | |
| Software engineering, system software, and programming languages
1 paper |
Compilers and program optimization · 100% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computational science and engineering · 100% |
Topics — the 4 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Compilers and program optimization › code generation
high-performance code generation |
0.0 | 1 | 2002 | A high-level approach to synthesis of high-performance codes for quantum chemistry · SC 2002 |
High-performance computing
quantum chemistry |
0.0 | 1 | 2002 | A high-level approach to synthesis of high-performance codes for quantum chemistry · SC 2002 |
High-performance computing
scientific computing systems |
0.0 | 1 | 2002 | A high-level approach to synthesis of high-performance codes for quantum chemistry · SC 2002 |
Parallel and multicore computing › parallelizing compiler
parallel code generation |
0.0 | 1 | 2002 | A high-level approach to synthesis of high-performance codes for quantum chemistry · SC 2002 |
Methods — techniques the papers use, named apart from their topics
program synthesis · 0.1performance optimization · 0.1tensor contraction · 0.1architecture-specific code generation · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2005 | Synthesis of High-Performance Parallel Programs for a Class of ab Initio Quantum Chemistry ModelsabstractThis paper provides an overview of a program synthesis system for a class of quantum chemistry computations. These computations are expressible as a set of tensor contractions and arise in electronic structure modeling. The input to the system is a a high-level specification of the computation, from which the system can synthesize high-performance parallel code tailored to the characteristics of the target architecture. Several components of the synthesis system are described, focusing on performance optimization issues that they address. Gerald Baumgartner, Alexander A. Auer, David E. Bernholdt, Alina Bibireata, Venkatesh Choppella, Daniel Cociorva, Xiaoyang Gao 0002, Robert J. Harrison, So Hirata, Sriram Krishnamoorthy, Sandhya Krishnan, Chi-Chung Lam, Qingda Lu, Marcel Nooijen, Russell M. Pitzer, J. Ramanujam, P. Sadayappan, Alexander Sibiryakov |
Proc. IEEE | 9 |
| 2002 | A high-level approach to synthesis of high-performance codes for quantum chemistryabstractThis paper discusses an approach to the synthesis of high-performance parallel programs for a class of computations encountered in quantum chemistry and physics. These computations are expressible as a set of tensor contractions and arise in electronic structure modeling. An overview is provided of the synthesis system, that transforms a high-level specification of the computation into high-performance parallel code, tailored to the characteristics of the target architecture. An example from computational chemistry is used to illustrate how different code structures are generated under different assumptions of available memory on the target computer. Gerald Baumgartner, David E. Bernholdt, Daniel Cociorva, Robert J. Harrison, So Hirata, Chi-Chung Lam, Marcel Nooijen, Russell M. Pitzer, J. Ramanujam, P. Sadayappan |
SC | 5 |