VLDB 2026 Research / reviewers in the wild / expert
Akira Katayama
dblp:51/10273
· DBLP profile ↗
4ranked-venue papers
2as first author
3since 2021 · last 2026
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 3 · 1 first-author · 3 since 2021Systems, architecture and hardware · 1 · 1 first-author
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | On the (Non-)Existence of Efficient Class Group Orbits for Collision Search in CSIDH
Ryo Negishi, Kazuki Komine, Akira Katayama, Masaya Yasuda |
WAIFI | 3 |
| 2025 | A Hybrid Approach to Speeding up Schoof's Algorithm on Supersingular Elliptic Curves
Kazuki Komine, Akira Katayama, Masaya Yasuda |
CASC | 2 |
| 2024 | Computing a Basis of the Set of Isogenies Between Two Supersingular Elliptic Curves
Akira Katayama, Masaya Yasuda |
CASC | 1 |
| 2008 | Direct Cell-Stability Test Techniques for an SRAM Macro with Asymmetric Cell-Bias-Voltage ModulationabstractIn this paper we propose a new metric of SRAM cell stability named static cell-flip voltage (SCFV). In order to measure SCFV, novel design-for-test (DFT) techniques with asymmetric cell-bias-voltage modulation (ACBVM) are introduced, in which the cell-data retention is measured with sweeping potential of a ground node connected to one of the cross-coupled invertors of a cell and source voltage of PMOS loads swept. It is shown that SCFV has high correlation with conventional static noise margin (SNM). The proposed techniques make it possible to directly obtain large amounts of stability data of memory cells arranged in matrix for an SRAM macro, which has been difficult with conventional SNM measurements. The measured data of 1 Kb SRAM with 65 nm technology show good correspondence with simulated results. Akira Katayama, Tomoaki Yabe, Osamu Hirabayashi, Yasuhisa Takeyama, Keiichi Kushida, Takahiko Sasaki, Nobuaki Otsuka |
ITC | 1 |