Travelled to:1 × China
1 × France
3 × USA
Collaborated with:X.Shen G.Li Y.X.0001 M.Zhou M.Musuvathi T.Mytkowicz B.Wu Z.Zhao Lin Ning Hui Guan Y.Zhao S.Eisenstat J.Ansel K.Veeramachaneni U.O'Reilly S.P.Amarasinghe J.Sun Y.Wu X.Hu Ling Liang S.Li Lei Deng 0003 Pengfei Zuo Yu Ji 0002 Xinfeng Xie C.Liu T.Sherwood Y.Xie
Talks about:framework (3) base (3) architectur (2) algorithm (2) quantum (2) problem (2) general (2) compil (2) mean (2) call (2)
Person: Yufei Ding
DBLP: Ding:Yufei
Contributed to:
2015
2015
2015
2014
2014
20132017201720192020Wrote 11 papers:
- ICML-2015-DingZSMM #consistency
- Yinyang K-Means: A Drop-In Replacement of the Classic K-Means with Consistent Speedup (YD, YZ, XS, MM, TM), pp. 579–587.
- PLDI-2015-DingAVSOA #algorithm
- Autotuning algorithmic choice for input sensitivity (YD, JA, KV, XS, UMO, SPA), pp. 379–390.
- VLDB-2015-DingSMM #algorithm #framework #named #optimisation #problem
- TOP: A Framework for Enabling Algorithmic Optimizations for Distance-Related Problems (YD, XS, MM, TM), pp. 1046–1057.
- ASPLOS-2014-DingZZES #compilation #complexity #runtime #scheduling
- Finding the limit: examining the potential and complexity of compilation scheduling for JIT-based runtime systems (YD, MZ, ZZ, SE, XS), pp. 607–622.
- OOPSLA-2014-ZhaoWZDSSW #automaton #predict #probability #sequence
- Call sequence prediction through probabilistic calling automata (ZZ, BW, MZ, YD, JS, XS, YW), pp. 745–762.
- CGO-2013-ZhouWDS #flexibility #framework #migration #named
- Profmig: A framework for flexible migration of program profiles across software versions (MZ, BW, YD, XS), p. 12.
- OOPSLA-2017-DingS #named
- GLORE: generalized loop redundancy elimination upon LER-notation (YD, XS), p. 28.
- PLDI-2017-DingNGS #deployment #difference #reduction
- Generalizations of the theory and deployment of triangular inequality for compiler-based strength reduction (YD, LN, HG, XS), pp. 33–48.
- ASPLOS-2019-LiDX #problem #quantum
- Tackling the Qubit Mapping Problem for NISQ-Era Quantum Devices (GL, YD, YX0), pp. 1001–1014.
- ASPLOS-2020-HuLL0Z0XDLSX #architecture #framework #learning #named
- DeepSniffer: A DNN Model Extraction Framework Based on Learning Architectural Hints (XH, LL, SL, LD0, PZ, YJ0, XX, YD, CL, TS, YX), pp. 385–399.
- ASPLOS-2020-LiD0 #architecture #design #performance #quantum #towards
- Towards Efficient Superconducting Quantum Processor Architecture Design (GL, YD, YX0), pp. 1031–1045.