Demo Data from EDBT 2026 / reviewers in the wild / expert
Richard A. Vaughan
dblp:46/4438
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1987
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1Software engineering, systems software and programming languages · 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
1 paper |
Processor architecture and microarchitecture · 50% Memory systems · 25% Performance modeling and evaluation · 25% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Memory systems › cache
cache performance |
0.0 | 1 | 1987 | The Effect of Instruction Set Complexity on Program Size and Memory Performance · ASPLOS 1987 |
Processor architecture and microarchitecture
instruction set architecture |
0.0 | 1 | 1987 | The Effect of Instruction Set Complexity on Program Size and Memory Performance · ASPLOS 1987 |
Processor architecture and microarchitecture › instruction set architecture › instruction set style
RISC vs CISC |
0.0 | 1 | 1987 | The Effect of Instruction Set Complexity on Program Size and Memory Performance · ASPLOS 1987 |
Performance modeling and evaluation › simulation › discrete-event simulation
trace-driven simulation |
0.0 | 1 | 1987 | The Effect of Instruction Set Complexity on Program Size and Memory Performance · ASPLOS 1987 |
Methods — techniques the papers use, named apart from their topics
trace-driven simulation · 0.0compiler construction · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1987 | The Effect of Instruction Set Complexity on Program Size and Memory PerformanceabstractOne potential disadvantage of a machine with a reduced instruction set is that object programs may be substantially larger than those for a machine with a richer, more complex instruction set. The main reason is that a small instruction set will require more instructions to implement the same function. In addition, the tendency of RISC machines to use fixed length instructions with a few instruction formats also increases object program size. It has been conjectured that the resulting larger programs could adversely affect memory performance and bus traffic. In this paper we report the results of a set of experiments to isolate and determine the effect of instruction set complexity on cache memory performance and bus traffic. Three high-level language compilers were constructed for machines with instruction sets of varying degrees of complexity. Using a set of benchmark programs, we evaluated the effect of instruction set complexity had on program size. Five of the programs were used to perform a set of trace-driven simulations to study each machine's cache and bus performance. While we found that the miss ratio is affected by object program size, it appears that this can be corrected by simplying increasing the size of the cache. Our measurements of bus traffic, however, show that even with large caches, machines with simple instruction sets can expect substantially more main memory reads than machines with dense object programs. Jack W. Davidson, Richard A. Vaughan |
ASPLOS | 2 |