[CC2020] Call for Participation for the ACM SIGPLAN 2020 International Conference on Compiler Construction

ACM SIGPLAN 2020 International Conference on Compiler Construction (CC’20)

co-located with CGO, PPoPP and HPCA

San Diego, CA, USA

February 22 – 23, 2020

https://conf.researchr.org/home/CC-2020

The ACM SIGPLAN 2020 International Conference on Compiler Construction (CC 2020) is interested in work on processing programs in the most general sense: analyzing, transforming or executing input programs that describe how a system operates, including traditional compiler construction as a special case.

CC 2020 is the 29th edition of the conference. From this year onwards, CC is an ACM SIGPLAN conference and implements guidelines and procedures recommended by SIGPLAN https://www.sigplan.org.

IMPORTANT INFORMATION

Early registration : 31 January 2020

Conference : 22-23 February 2020

CC 2020 will be held at the Hilton San Diego Resort and Spa in San Diego, CA, USA, and is co-located with CGO, PPoPP, and HPCA. Any person registering for CC can attend any of the co-located workshops, as well as the Sunday reception.

PROGRAM

– Postcondition-Preserving Fusion of Postorder Tree Transformations. Eleanor Davies, Sara Kalvala.

– Scalable Pointer Analysis of Data Structures Using Semantic Models. Pratik Fegade, Christian Wimmer.

– Runtime Multi-Versioning and Specialization inside a Memoized Speculative Loop Optimizer. Raquel Lazcano, Daniel Madronal, Eduardo Juarez, Philippe Clauss.

– A Study of Event Frequency Profiling with Differential Privacy. Hailong Zhang, Yu Hao, Sufian Latif, Raef Bassily, Atanas Rountev.

– Dynamic Property Caches, or a step towards faster JavaScript proxy objects. Manuel Serrano, Robert B. Findler.

– Compiling First-order Functions to Session-Typed Parallel Code. David Castro-Perez, Nobuko Yoshida.

– Vectorization-Aware Loop Unrolling with Seed Forwarding. Rodrigo C.O. Rocha, Vasileios Porpodas, Pavlos Petoumenos, Luis F.W. Goes, Zheng Wang, Murray Cole, Hugh Leather.

– Mixed-Data-Model Heterogeneous Compilation and OpenMP Offloading. Andreas Kurth, Koen Wolters, Bjorn Forsberg, Alessandro Capotondi, Andrea Marongiu, Tobias Grosser, Luca Benini.

– Improving Database Query Performance with Automatic Fusion. Hanfeng Chen, Alexander Krolik, Bettina Kemme, Clark Verbrugge, Laurie Hendren.

– Automatically Harnessing Sparse Acceleration. Philip Ginsbach, Bruce Collie, Michael F.P. O’Boyle.

– Compiler-Based Graph Representations for Deep Learning Models of Code. Alexander Brauckmann, Andres Goens, Sebastian Ertel, Jeronimo Castrillon.

– Balancing Performance and Productivity for the Development of Dynamic Binary Instrumentation Tools: A Case Study on Arm Systems. Cosmin Gorgovan, Guillermo Callaghan, Mikel Lujan.

– Generating Fast Sparse Matrix Vector Multiplication From a High Level Generic Functional IR. Federico Pizzuti, Michel Steuwer, Christophe Dubach.

– Secure Delivery of Program Properties Through Optimizing Compilation. Son Tuan Vu, Karine Heydemann, Albert Cohen, Arnaud de Grandmaison.

– Is Stateful Packrat Parsing Really Linear in Practice? — A Counter-Example, An Improved Grammar and Its Parsing Algorithms. Nariyoshi Chida, Yuhei Kawakoya, Dai Ikarashi, Kenji Takahashi, Koushik Sen.

– Bitwidth Customization in Image Processing Pipelines using Interval Analysis and SMT Solvers. Suresh Purini, Vinamra Benara, Ziaul Chowdhury, Uday Bondhugula.

– Optimizing Deep Neural Network Quantizations for Noisy Environment. Youngseok Kim, Junyeol Lee, Younghoon Kim, Jiwon Seo.

– Relaxing the One Definition Rule in Interpreted C++. Javier Lopez-Gomez, Javier Fernandez, David del Rio Astorga, Vassil Vassilev, Axel Naumann, J. Daniel Garcia.

– Mix Your Contexts Well: Opportunities Unleashed by Recent Advances in Scaling Context-Sensitivity. Manas Thakur, V. Krishna Nandivada.