Demo Data from EDBT 2026 / reviewers in the wild / expert
Trilok Vyas
dblp:142/3200
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2014
—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.
| Software engineering, system software, and programming languages
1 paper |
Concurrent programming · 44% Software maintenance and evolution · 44% Runtime systems and virtual machines · 13% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Software maintenance and evolution › software reengineering
software modernization |
0.2 | 1 | 2014 | Transactionalizing legacy code: an experience report using GCC and Memcached · ASPLOS 2014 |
Concurrent programming
transactional memory |
0.2 | 1 | 2014 | Transactionalizing legacy code: an experience report using GCC and Memcached · ASPLOS 2014 |
Methods — techniques the papers use, named apart from their topics
transactional memory · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | Transactionalizing legacy code: an experience report using GCC and MemcachedabstractThe addition of transactional memory (TM) support to existing languages provides the opportunity to create new soft- ware from scratch using transactions, and also to simplify or extend legacy code by replacing existing synchronization with language-level transactions. In this paper, we describe our experiences transactionalizing the memcached application through the use of the GCC implementation of the Draft C++ TM Specification. We present experiences and recommendations that we hope will guide the effort to integrate TM into languages, and that may also contribute to the growing collective knowledge about how programmers can begin to exploit TM in existing production-quality software. Wenjia Ruan, Trilok Vyas, Yujie Liu 0003, Michael F. Spear |
ASPLOS | 2 |