EDBT 2026 Demo / reviewers in the wild / expert
Tharun Kumar Dangeti
dblp:229/8847
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2018
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 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 networks
1 paper |
Software-defined and programmable networks · 100% | |
| Software engineering, system software, and programming languages
1 paper |
Compilers and program optimization · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Software-defined and programmable networks › programmable data plane
p4 |
0.3 | 1 | 2018 | P4LLVM: An LLVM Based P4 Compiler · ICNP 2018 |
Software-defined and programmable networks
programmable data plane |
0.3 | 1 | 2018 | P4LLVM: An LLVM Based P4 Compiler · ICNP 2018 |
Compilers and program optimization
compiler optimization |
0.3 | 1 | 2018 | P4LLVM: An LLVM Based P4 Compiler · ICNP 2018 |
Compilers and program optimization › intermediate representation
intermediate representation optimization |
0.3 | 1 | 2018 | P4LLVM: An LLVM Based P4 Compiler · ICNP 2018 |
Software-defined and programmable networks › programmable data plane
p4 compiler |
0.1 | 1 | 2018 | P4LLVM: An LLVM Based P4 Compiler · ICNP 2018 |
Methods — techniques the papers use, named apart from their topics
LLVM · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | P4LLVM: An LLVM Based P4 CompilerabstractWe propose P4LLVM, an LLVM based P4 compiler for achieving better optimizations to improve the runtime performance of the network. The front-end of P4LLVM converts P4-16's code to LLVM's Intermediate Representation (IR). This IR is passed through various optimizations of LLVM and is translated to JSON for targeting a BMV2 Switch. We show the performance improvements obtained by running LLVM optimization passes in P4LLVM when compared to P4C. Tharun Kumar Dangeti, S. VenkataKeerthy, Ramakrishna Upadrasta |
ICNP | 1 |