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21st CGO 2023: Montréal, QC, Canada
- Christophe Dubach, Derek Bruening, Ben Hardekopf:
Proceedings of the 21st ACM/IEEE International Symposium on Code Generation and Optimization, CGO 2023, Montréal, QC, Canada, 25 February 2023- 1 March 2023. ACM 2023, ISBN 979-8-4007-0101-6 - Peng Wu:
PyTorch 2.0: The Journey to Bringing Compiler Technologies to the Core of PyTorch (Keynote). 1 - Mohamed Essadki, Bertrand Michel, Bruno Maugars, Oleksandr Zinenko, Nicolas Vasilache, Albert Cohen:
Code Generation for In-Place Stencils. 2-13 - Caio Salvador Rohwedder, Nathan Henderson, João P. L. de Carvalho, Yufei Chen, José Nelson Amaral:
To Pack or Not to Pack: A Generalized Packing Analysis and Transformation. 14-27 - Tobi Popoola, Tuowen Zhao, Aaron St. George, Kalyan Bhetwal, Michelle Mills Strout, Mary W. Hall, Catherine Olschanowsky:
Code Synthesis for Sparse Tensor Format Conversion and Optimization. 28-40 - Willow Ahrens, Daniel Donenfeld, Fredrik Kjolstad, Saman P. Amarasinghe:
Looplets: A Language for Structured Coiteration. 41-54 - Peihua Zhang, Chenggang Wu, Mingfan Peng, Kai Zeng, Ding Yu, Yuanming Lai, Yan Kang, Wei Wang, Zhe Wang:
Khaos: The Impact of Inter-procedural Code Obfuscation on Binary Diffing Techniques. 55-67 - Arun Thangamani, Tiago Trevisan Jost, Vincent Loechner, Stéphane Genaud, Bérenger Bramas:
Lifting Code Generation of Cardiac Physiology Simulation to Novel Compiler Technology. 68-80 - Bolun Li, Pengfei Su, Milind Chabbi, Shuyin Jiao, Xu Liu:
DJXPerf: Identifying Memory Inefficiencies via Object-Centric Profiling for Java. 81-94 - Mridul Aanjaneya, Santosh Nagarakatte:
Fast Polynomial Evaluation for Correctly Rounded Elementary Functions using the RLIBM Approach. 95-107 - Thaís Damásio, Michael Canesche, Vinícius Pacheco, Marcus Botacin, Anderson Faustino da Silva, Fernando Magno Quintão Pereira:
A Game-Based Framework to Compare Program Classifiers and Evaders. 108-121 - Michael Wilkins, Sam Westrick, Vijay Kandiah, Alex Bernat, Brian Suchy, Enrico Armenio Deiana, Simone Campanoni, Umut A. Acar, Peter A. Dinda, Nikos Hardavellas:
WARDen: Specializing Cache Coherence for High-Level Parallel Languages. 122-135 - Tyson Loveless, Philip Brisk:
Compiling Functions onto Digital Microfluidics. 136-148 - Amir Shaikhha, Marios Kelepeshis, Mahdi Ghorbani:
Fine-Tuning Data Structures for Query Processing. 149-161 - Ajay Brahmakshatriya, Saman P. Amarasinghe:
D2X: An eXtensible conteXtual Debugger for Modern DSLs. 162-172 - Tal Ben-Nun, Berke Ates, Alexandru Calotoiu, Torsten Hoefler:
Bridging Control-Centric and Data-Centric Optimization. 173-185 - Vijay Kandiah, Daniel Lustig, Oreste Villa, David W. Nellans, Nikos Hardavellas:
Parsimony: Enabling SIMD/Vector Programming in Standard Compiler Flows. 186-198 - Enrico Armenio Deiana, Brian Suchy, Michael Wilkins, Brian Homerding, Tommy McMichen, Katarzyna Dunajewski, Peter A. Dinda, Nikos Hardavellas, Simone Campanoni:
Program State Element Characterization. 199-211 - Hyemi Min, Jungyoon Kwon, Bernhard Egger:
Flexer: Out-of-Order Scheduling for Multi-NPUs. 212-223 - Hyuk-Jin Jeong, JiHwan Yeo, Cheongyo Bahk, JongHyun Park:
Pin or Fuse? Exploiting Scratchpad Memory to Reduce Off-Chip Data Transfer in DNN Accelerators. 224-235 - Hanwoong Jung, Hexiang Ji, Alexey Pushchin, Maxim Ostapenko, Wenlong Niu, Ilya Palachev, Yutian Qu, Pavel Fedin, Yuri Gribov, Heewoo Nam, Dongguen Lim, Hyunjun Kim, Joonho Song, Seungwon Lee, Hwansoo Han:
Accelerating Deep Neural Networks on Mobile Multicore NPUs. 236-248 - Yongwon Shin, Juseong Park, Sungjun Cho, Hyojin Sung:
PIMFlow: Compiler and Runtime Support for CNN Models on Processing-in-Memory DRAM. 249-262
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