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LCTES 2016: Santa Barbara, CA, USA
- Tei-Wei Kuo, David B. Whalley:
Proceedings of the 17th ACM SIGPLAN/SIGBED Conference on Languages, Compilers, Tools, and Theory for Embedded Systems, LCTES 2016, Santa Barbara, CA, USA, June 13 - 14, 2016. ACM 2016, ISBN 978-1-4503-4316-9
Dynamic Translation and Iterative Compilation
- Tom Spink, Harry Wagstaff, Björn Franke:
Efficient asynchronous interrupt handling in a full-system instruction set simulator. 1-10 - Forrest J. Robinson, Michael R. Jantz, Prasad A. Kulkarni:
Code cache management in managed language VMs to reduce memory consumption for embedded systems. 11-20 - Ricardo Nobre, Luiz G. A. Martins, João M. P. Cardoso:
A graph-based iterative compiler pass selection and phase ordering approach. 21-30
Loop and Dataflow Analysis
- Kunal Banerjee, Chittaranjan A. Mandal, Dipankar Sarkar:
Translation validation of loop and arithmetic transformations in the presence of recurrences. 31-40 - Yulei Sui, Xiaokang Fan, Hao Zhou, Jingling Xue:
Loop-oriented array- and field-sensitive pointer analysis for automatic SIMD vectorization. 41-51 - Lukasz Domagala, Duco van Amstel, Fabrice Rastello:
Generalized cache tiling for dataflow programs. 52-61
Worst-Case Analysis and Error Handling
- Duc-Hiep Chu, Joxan Jaffar, Rasool Maghareh:
Symbolic execution for memory consumption analysis. 62-71 - Ravindra Metta, Martin Becker, Prasad Bokil, Samarjit Chakraborty, R. Venkatesh:
TIC: a scalable model checking based approach to WCET estimation. 72-81 - Kuan-Hsun Chen, Björn Bönninghoff, Jian-Jia Chen, Peter Marwedel:
Compensate or ignore? meeting control robustness requirements through adaptive soft-error handling. 82-91
Computation Partitioning
- Prasenjit Chakraborty, Gautam Doshi, Shashank Shekhar, Vikrant Kumar:
Opportunity for compute partitioning in pursuit of energy-efficient systems. 92-101 - Phitchaya Mangpo Phothilimthana, Michael Schuldt, Rastislav Bodík:
Compiling a gesture recognition application for a low-power spatial architecture. 102-112 - Paul-Jules Micolet, Aaron Smith, Christophe Dubach:
A machine learning approach to mapping streaming workloads to dynamic multicore processors. 113-122
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