Travelled to:
1 × Chile
1 × Turkey
2 × Australia
3 × USA
Collaborated with:
S.Elnikety K.Agrawal C.E.Leiserson O.Ruwase T.M.Chilimbi S.Sakr M.Jeon A.L.Cox S.Rixner F.Yan J.Yun S.Ren M.Sarwat M.F.Mokbel W.Hsu S.Rajbhandari M.Carbin M.E.Haque Y.H.Eom R.Bianchini K.S.McKinley H.Kim S.Kim S.Hwang
Talks about:
parallel (5) latenc (4) tail (4) reduc (3) optim (3) distribut (2) interact (2) feedback (2) scalabl (2) predict (2)
Person: Yuxiong He
DBLP: He:Yuxiong
Contributed to:
Wrote 10 papers:
- ASPLOS-2015-HaqueEHEBM #incremental #interactive #latency #named #parallel
- Few-to-Many: Incremental Parallelism for Reducing Tail Latency in Interactive Services (MEH, YHE, YH, SE, RB, KSM), pp. 161–175.
- KDD-2015-YanRHC #distributed #learning #modelling #optimisation #performance #scalability
- Performance Modeling and Scalability Optimization of Distributed Deep Learning Systems (FY, OR, YH, TMC), pp. 1355–1364.
- SIGIR-2015-YunHER #latency #policy #web
- Optimal Aggregation Policy for Reducing Tail Latency of Web Search (JMY, YH, SE, SR), pp. 63–72.
- SIGIR-2014-JeonKHHECR #parallel #predict #web
- Predictive parallelization: taming tail latencies in web search (MJ, SK, SwH, YH, SE, ALC, SR), pp. 253–262.
- VLDB-2013-SarwatEHM #declarative #distributed #graph #query #reachability
- Horton+: A Distributed System for Processing Declarative Reachability Queries over Partitioned Graphs (MS, SE, YH, MFM), pp. 1918–1929.
- CIKM-2012-SakrEH #graph #hybrid #named #query #scalability
- G-SPARQL: a hybrid engine for querying large attributed graphs (SS, SE, YH), pp. 335–344.
- PPoPP-2007-AgrawalHL #adaptation #feedback #parallel
- Adaptive work stealing with parallelism feedback (KA, YH, CEL), pp. 112–120.
- PPoPP-2006-AgrawalHHL #adaptation #feedback #parallel #scheduling
- Adaptive scheduling with parallelism feedback (KA, YH, WJH, CEL), pp. 100–109.
- ASPLOS-2016-JeonHKERC #interactive #latency #named #parallel #predict
- TPC: Target-Driven Parallelism Combining Prediction and Correction to Reduce Tail Latency in Interactive Services (MJ, YH, HK, SE, SR, ALC), pp. 129–141.
- ASPLOS-2017-RajbhandariHRCC #multi #optimisation #performance #scalability
- Optimizing CNNs on Multicores for Scalability, Performance and Goodput (SR, YH, OR, MC, TMC), pp. 267–280.