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ORCIDChris Lattner
Person information
- affiliation: Google Brain, Mountain View, CA, USA
- award (2012): ACM Software System Award
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Books and Theses
- 2005
[b1]Chris Lattner:
Macroscopic Data Structure Analysis and Optimization. University of Illinois Urbana-Champaign, USA, 2005
Journal Articles
- 2005
- [j1]Dinakar Dhurjati, Sumant Kowshik, Vikram S. Adve, Chris Lattner:
Memory safety without garbage collection for embedded applications. ACM Trans. Embed. Comput. Syst. 4(1): 73-111 (2005)
Conference and Workshop Papers
- 2021
- [c10]Chris Lattner, Mehdi Amini
, Uday Bondhugula, Albert Cohen, Andy Davis, Jacques A. Pienaar, River Riddle, Tatiana Shpeisman, Nicolas Vasilache, Oleksandr Zinenko:
MLIR: Scaling Compiler Infrastructure for Domain Specific Computation. CGO 2021: 2-14 - 2007
- [c9]Chris Lattner, Andrew Lenharth, Vikram S. Adve:
Making context-sensitive points-to analysis with heap cloning practical for the real world. PLDI 2007: 278-289 - 2005
- [c8]Chris Lattner, Vikram S. Adve:
Transparent pointer compression for linked data structures. Memory System Performance 2005: 24-35 - [c7]Chris Lattner, Vikram S. Adve:
Automatic pool allocation: improving performance by controlling data structure layout in the heap. PLDI 2005: 129-142 - 2004
- [c6]Chris Lattner, Vikram S. Adve:
LLVM: A Compilation Framework for Lifelong Program Analysis & Transformation. CGO 2004: 75-88 - [c5]Chris Lattner, Vikram S. Adve:
The LLVM Compiler Framework and Infrastructure Tutorial. LCPC 2004: 15-16 - 2003
- [c4]Dinakar Dhurjati, Sumant Kowshik, Vikram S. Adve, Chris Lattner:
Memory safety without runtime checks or garbage collection. LCTES 2003: 69-80 - [c3]Vikram S. Adve, Chris Lattner, Michael Brukman, Anand Shukla, Brian Gaeke:
LLVA: A Low-level Virtual Instruction Set Architecture. MICRO 2003: 205-216 - 2002
- [c2]Chris Lattner, Shashank Shekhar, Anand Shukla, Vikram S. Adve:
Addressing Fundamental Bottlenecks in Link-Time and Dynamic Optimization. IPDPS 2002 - [c1]Chris Lattner, Vikram S. Adve:
Automatic pool allocation for disjoint data structures. MSP/ISMM 2002: 13-24
Informal and Other Publications
- 2021
- [i2]Brennan Saeta, Denys Shabalin, Marc Rasi, Brad Larson, Xihui Wu, Parker Schuh, Michelle Casbon, Daniel Zheng, Saleem Abdulrasool, Aleksandr Efremov, Dave Abrahams, Chris Lattner, Richard Wei:
Swift for TensorFlow: A portable, flexible platform for deep learning. CoRR abs/2102.13243 (2021) - 2020
- [i1]Chris Lattner, Jacques A. Pienaar, Mehdi Amini, Uday Bondhugula, River Riddle, Albert Cohen, Tatiana Shpeisman, Andy Davis, Nicolas Vasilache, Oleksandr Zinenko:
MLIR: A Compiler Infrastructure for the End of Moore's Law. CoRR abs/2002.11054 (2020)
Coauthor Index
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