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Publication search results
found 32 matches
- 2018
- Qiang Zeng, Lannan Luo, Zhiyun Qian
, Xiaojiang Du, Zhoujun Li:
Resilient decentralized Android application repackaging detection using logic bombs. CGO 2018: 50-61 - Long Zheng, Xiaofei Liao, Hai Jin, Jieshan Zhao, Qinggang Wang:
Scalable concurrency debugging with distributed graph processing. CGO 2018: 188-199 - Andrew Anderson, David Gregg:
Optimal DNN primitive selection with partitioned boolean quadratic programming. CGO 2018: 340-351 - Sara S. Baghsorkhi, Christos Margiolas:
Automating efficient variable-grained resiliency for low-power IoT systems. CGO 2018: 38-49 - Jia-Ju Bai, Yu-Ping Wang, Shi-Min Hu:
AutoPA: automatically generating active driver from original passive driver code. CGO 2018: 288-299 - Henrik Barthels, Marcin Copik, Paolo Bientinesi:
The generalized matrix chain algorithm. CGO 2018: 138-148 - Erick Bauman, Huibo Wang, Mingwei Zhang, Zhiqiang Lin:
SGXElide: enabling enclave code secrecy via self-modification. CGO 2018: 75-86 - Sebastian Buchwald, Andreas Fried, Sebastian Hack:
Synthesizing an instruction selection rule library from semantic specifications. CGO 2018: 300-313 - Wei-Yu Chen, Guei-Yuan Lueh, Pratik Ashar, Kaiyu Chen, Buqi Cheng:
Register allocation for Intel processor graphics. CGO 2018: 352-364 - Diego Costa, Artur Andrzejak:
CollectionSwitch: a framework for efficient and dynamic collection selection. CGO 2018: 16-26 - Christopher Curtis, Daniel T. Grissom, Philip Brisk:
A compiler for cyber-physical digital microfluidic biochips. CGO 2018: 365-377 - Eddie C. Davis, Michelle Mills Strout, Catherine Olschanowsky:
Transforming loop chains via macro dataflow graphs. CGO 2018: 265-277 - Sara-Jane Dunn:
Biological computation (keynote). CGO 2018: 1 - Xinwei Fu, Dongyoon Lee, Changhee Jung:
nAdroid: statically detecting ordering violations in Android applications. CGO 2018: 62-74 - Bastian Hagedorn, Larisa Stoltzfus, Michel Steuwer, Sergei Gorlatch, Christophe Dubach:
High performance stencil code generation with lift. CGO 2018: 100-112 - Peng Jiang, Gagan Agrawal:
Conflict-free vectorization of associative irregular applications with recent SIMD architectural advances. CGO 2018: 175-187 - Michael Kruse, Tobias Grosser:
DeLICM: scalar dependence removal at zero memory cost. CGO 2018: 241-253 - David Leopoldseder, Lukas Stadler, Thomas Würthinger, Josef Eisl, Doug Simon, Hanspeter Mössenböck:
Dominance-based duplication simulation (DBDS): code duplication to enable compiler optimizations. CGO 2018: 126-137 - Daniel Maier, Biagio Cosenza, Ben H. H. Juurlink:
Local memory-aware kernel perforation. CGO 2018: 278-287 - Vasileios Porpodas, Rodrigo C. O. Rocha, Luís F. W. Góes:
Look-ahead SLP: auto-vectorization in the presence of commutative operations. CGO 2018: 163-174 - Andrea Rosà, Eduardo Rosales, Walter Binder:
Analyzing and optimizing task granularity on the JVM. CGO 2018: 27-37 - Probir Roy, Shuaiwen Leon Song, Sriram Krishnamoorthy, Xu Liu:
Lightweight detection of cache conflicts. CGO 2018: 200-213 - Du Shen, Shuaiwen Leon Song, Ang Li, Xu Liu:
CUDAAdvisor: LLVM-based runtime profiling for modern GPUs. CGO 2018: 214-227 - Savvas Sioutas, Sander Stuijk, Henk Corporaal, Twan Basten, Lou J. Somers:
Loop transformations leveraging hardware prefetching. CGO 2018: 254-264 - Marcos Yukio Siraichi, Vinícius Fernandes dos Santos, Caroline Collange, Fernando Magno Quintão Pereira:
Qubit allocation. CGO 2018: 113-125 - Daniele G. Spampinato, Diego Fabregat-Traver, Paolo Bientinesi, Markus Püschel:
Program generation for small-scale linear algebra applications. CGO 2018: 327-339 - Alen Stojanov, Ivaylo Toskov, Tiark Rompf, Markus Püschel:
SIMD intrinsics on managed language runtimes. CGO 2018: 2-15 - Luca Della Toffola, Michael Pradel, Thomas R. Gross:
Synthesizing programs that expose performance bottlenecks. CGO 2018: 314-326 - Biwei Xie, Jianfeng Zhan, Xu Liu, Wanling Gao, Zhen Jia, Xiwen He, Lixin Zhang:
CVR: efficient vectorization of SpMV on x86 processors. CGO 2018: 149-162 - Feng Zhang, Jingling Xue:
Poker: permutation-based SIMD execution of intensive tree search by path encoding. CGO 2018: 87-99
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