Demo Data from VLDB 2026 / reviewers in the wild / expert
Roy D. Merrill
dblp:180/6480
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1964
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1 · 1 first-author
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 |
Integrated circuit design · 87% Processor architecture and microarchitecture · 13% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computational science and engineering · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Integrated circuit design
digital circuit design |
0.0 | 1 | 1964 | Improving Digital Computer Performance Using Residue Number Theory · IEEE Trans. Electron. Comput. 1964 |
Integrated circuit design
residue number system arithmetic |
0.0 | 1 | 1964 | Improving Digital Computer Performance Using Residue Number Theory · IEEE Trans. Electron. Comput. 1964 |
Computational science and engineering › numerical linear algebra
linear equation solving |
0.0 | 1 | 1964 | Improving Digital Computer Performance Using Residue Number Theory · IEEE Trans. Electron. Comput. 1964 |
Computational science and engineering
numerical linear algebra |
0.0 | 1 | 1964 | Improving Digital Computer Performance Using Residue Number Theory · IEEE Trans. Electron. Comput. 1964 |
Processor architecture and microarchitecture › arithmetic unit
arithmetic unit design |
0.0 | 1 | 1964 | Improving Digital Computer Performance Using Residue Number Theory · IEEE Trans. Electron. Comput. 1964 |
Methods — techniques the papers use, named apart from their topics
residue number theory · 0.0modular arithmetic · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1964 | Improving Digital Computer Performance Using Residue Number TheoryabstractResidue arithmetic has the interesting characteristic that in multiplication, addition and subtraction any digit in the result is dependent only on its two corresponding operand digits. Consequently, for these operations, residue arithmetic is inherently faster than the conventional weighted arithmetics. A system design approach for exploiting the desirable characteristics of both residue and conventional number theory in digital computers is the principal topic of this paper. Criteria for selecting the moduli, and general techniques for implementing the residue arithmetic operations by simple modifications of conventional circuitry are described. A specific system with a conventional word length of 25 bits and a residue system with moduli 128, 127, 63 and 31 are treated in detail, showing that in comparison to the conventional mode of computation, residue arithmetic addition and subtraction are 3 times faster and multiplication is 12 times faster. As an example of the usefulness of the approach, the problem of solving systems of simultaneous linear equations is considered. It is shown that in obtaining solutions by residue arithmetic, the residue mode computation time approaches one sixth that required in the conventional mode as the equation systems become more complex. Roy D. Merrill |
IEEE Trans. Electron. Comput. | 1 |