Travelled to:1 × France
1 × Italy
1 × United Kingdom
3 × USA
Collaborated with:K.J.Brown K.Olukotun A.K.Sujeeth T.Rompf H.Chafi M.Odersky A.R.Atreya M.Wu V.Jovanovic A.Gibbons Raghu Prabhakar David Koeplinger C.D.Sa C.Kozyrakis N.Amin M.Jonnalagedda V.Popic A.Prokopec
Talks about:specif (4) parallel (3) domain (3) compil (3) languag (2) generat (2) high (2) implement (1) heterogen (1) structur (1)
Person: HyoukJoong Lee
DBLP: Lee:HyoukJoong
Contributed to:
2014
2013
2013
2013
2011
2011
2016Wrote 7 papers:
- PLDI-2014-RompfSBLCO #compilation #jit #precise
- Surgical precision JIT compilers (TR, AKS, KJB, HL, HC, KO), p. 8.
- ECOOP-2013-SujeethRBLCPWPJOO #composition #domain-specific language #reuse
- Composition and Reuse with Compiled Domain-Specific Languages (AKS, TR, KJB, HL, HC, VP, MW, AP, VJ, MO, KO), pp. 52–78.
- GPCE-2013-SujeethGBLROO #declarative #domain-specific language #generative #implementation #named #performance #specification
- Forge: generating a high performance DSL implementation from a declarative specification (AKS, AG, KJB, HL, TR, MO, KO), pp. 145–154.
- POPL-2013-RompfSABJLJOO #compilation #data type #optimisation #source code #staging
- Optimizing data structures in high-level programs: new directions for extensible compilers based on staging (TR, AKS, NA, KJB, VJ, HL, MJ, KO, MO), pp. 497–510.
- ICML-2011-SujeethLBRCWAOO #domain-specific language #machine learning #named #parallel
- OptiML: An Implicitly Parallel Domain-Specific Language for Machine Learning (AKS, HL, KJB, TR, HC, MW, ARA, MO, KO), pp. 609–616.
- PPoPP-2011-ChafiSBLAO #approach #parallel
- A domain-specific approach to heterogeneous parallelism (HC, AKS, KJB, HL, ARA, KO), pp. 35–46.
- ASPLOS-2016-PrabhakarKBLSKO #configuration management #generative #hardware #parallel
- Generating Configurable Hardware from Parallel Patterns (RP, DK, KJB, HL, CDS, CK, KO), pp. 651–665.