Chris Lattner
Hardware and Architecture · 2000–2021
A researcher in the Science corpus: 4 papers; trusts 3 researchers and is trusted by 66 researchers here, as inferred from the citation graph.
Subfields
- Hardware and Architecture — 19 citations into it; #21 of 1,551 by trust here, #153 by citations
- Artificial Intelligence — 12 citations into it; #3,693 of 35,345 by trust here, #7,945 by citations
- Information Systems — 9 citations into it
- Software — 8 citations into it
Whom Chris Lattner trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sven Verdoolaege
- Michael Hind
- Tiark Rompf
- Uday Bondhugula
- George C. Necula
- Martin Odersky
- Tianqi Chen
- Evelyn Duesterwald
Who trusts Chris Lattner overall
- Joel A. E. Andersson
- Thomas Neumann
- Jeff Bezanson
- Benjamin Ransford
- Brandon Lucia
- Andrea Fioraldi
- Rui Abreu
- Yue Jia
- Yulei Sui
- Tal Ben-Nun
Papers from Chris Lattner's perspective
Ordered by how strongly the researchers Chris Lattner trusts endorse each paper. Same corpus, a different order for every researcher.
- A practical automatic polyhedral parallelizer and locality optimizer (ACM-SIGPLAN Symposium on Programming Language Design and Implementation)
- Code generation in the polyhedral model is easier than you think (Proceedings. 13th International Conference on Parallel Architecture and Compilation Techniques, 2004. PACT 2004.)
- Lightweight modular staging: a pragmatic approach to runtime code generation and compiled DSLs (International Conference on Generative Programming: Concepts and Experiences)
- Translation validation for an optimizing compiler (ACM-SIGPLAN Symposium on Programming Language Design and Implementation)
- Polly - Performing Polyhedral Optimizations on a Low-Level Intermediate Representation (Parallel Processing Letters)
- LLVM: a compilation framework for lifelong program analysis & transformation
- Stratego/XT 0.17. A language and toolset for program transformation (Science of Computer Programming)
- TVM: An Automated End-to-End Optimizing Compiler for Deep Learning
- Pointer analysis: haven't we solved this problem yet? (Workshop on Program Analysis For Software Tools and Engineering)
- The Transmeta Code Morphing/spl trade/ Software: using speculation, recovery, and adaptive retranslation to address real-life challenges (International Symposium on Code Generation and Optimization, 2003. CGO 2003.)
Their papers
- MLIR: A Compiler Infrastructure for the End of Moore's Law (2020) — 325 citations
- MLIR: Scaling Compiler Infrastructure for Domain Specific Computation (2021) — 679 citations
- LLVM: a compilation framework for lifelong program analysis & transformation (2004) — 6,201 citations
- LLVM: AN INFRASTRUCTURE FOR MULTI-STAGE OPTIMIZATION (2000) — 299 citations