Travelled to:
1 × India
3 × Canada
3 × China
5 × USA
Collaborated with:
Y.Wu W.Chen K.Chen G.Yang J.Zhai M.Zhang S.Lu J.Ren N.Vachharajani R.Hundt W.Guo S.Mu Y.Yuan S.Shi D.Wang F.Zheng B.Yang Y.Wang S.Qi T.Sheng S.Eranian Y.Shi S.Park Z.Yin Y.Zhou Mengxing Liu X.Qian D.Chen S.Liao V.Ramasamy P.Yuan R.Xue X.Liu M.Wu Z.Guo Z.Zhang G.M.Voelker C.Yang W.Xue H.Fu L.Gan L.Li Y.Xu Y.Lu J.Sun
Talks about:
parallel (3) concurr (3) machin (3) applic (3) use (3) lightweight (2) schedul (2) predict (2) definit (2) detect (2)
Person: Weimin Zheng
DBLP: Zheng:Weimin
Contributed to:
Wrote 13 papers:
- HPDC-2015-GuoCWZ
- Bidding for Highly Available Services with Low Price in Spot Instance Market (WG, KC, YW, WZ), pp. 191–202.
- FSE-2014-ZhangWLQRZ #concurrent #debugging #lightweight #named
- AI: a lightweight system for tolerating concurrency bugs (MZ, YW, SL, SQ, JR, WZ), pp. 330–340.
- HPDC-2014-MuCWZ #network #replication #state machine
- When paxos meets erasure code: reduce network and storage cost in state machine replication (SM, KC, YW, WZ), pp. 61–72.
- PPoPP-2013-YangXFGLXLSYZ #algorithm #cpu #gpu #simulation
- A peta-scalable CPU-GPU algorithm for global atmospheric simulations (CY, WX, HF, LG, LL, YX, YL, JS, GY, WZ), pp. 1–12.
- ICSE-2011-ShengVEHCZ #concurrent #detection #lightweight #named
- RACEZ: a lightweight and non-invasive race detection tool for production applications (TS, NV, SE, RH, WC, WZ), pp. 401–410.
- CGO-2010-ChenVHLRYCZ #compilation #hardware
- Taming hardware event samples for FDO compilation (DC, NV, RH, SwL, VR, PY, WC, WZ), pp. 42–52.
- HPDC-2010-YuanYWZ #named #parallel #predict #scheduling #strict
- PV-EASY: a strict fairness guaranteed and prediction enabled scheduler in parallel job scheduling (YY, GY, YW, WZ), pp. 240–251.
- OOPSLA-2010-ShiPYLZCZ #concurrent #debugging #detection #invariant
- Do I use the wrong definition?: DeFuse: definition-use invariants for detecting concurrency and sequential bugs (YS, SP, ZY, SL, YZ, WC, WZ), pp. 160–174.
- PPoPP-2010-ZhaiCZ #named #parallel #performance #predict #scalability #using
- PHANTOM: predicting performance of parallel applications on large-scale parallel machines using a single node (JZ, WC, WZ), pp. 305–314.
- PPoPP-2009-XueLWGCZZV #named
- MPIWiz: subgroup reproducible replay of mpi applications (RX, XL, MW, ZG, WC, WZ, ZZ, GMV), pp. 251–260.
- ICPR-v4-2002-ShiYWZ #clustering
- Potential-Based Hierarchical Clustering (SS, GY, DW, WZ), pp. 272–275.
- TOOLS-ASIA-2000-ZhengZYW #compilation #concurrent #design #hybrid #java #virtual machine
- A Java Virtual Machine Design Based on Hybrid Concurrent Compilation Model (WZ, FZ, BY, YW), pp. 18–23.
- ASPLOS-2017-LiuZCQWZR #memory management #named #persistent #transaction
- DudeTM: Building Durable Transactions with Decoupling for Persistent Memory (ML, MZ, KC, XQ, YW, WZ, JR), pp. 329–343.