Travelled to:
1 × Denmark
1 × Estonia
1 × Ireland
1 × Japan
1 × Portugal
1 × Sweden
1 × The Netherlands
1 × Turkey
2 × China
2 × United Kingdom
3 × Canada
8 × USA
Collaborated with:
R.Ley-Wild Y.Chen G.E.Blelloch M.A.Hammer M.Blume M.Fluet A.Charguéraud M.Rainey K.Tangwongsan A.Ahmed R.Harper J.Cheney J.Dunfield ∅ E.Çiçek D.Garg J.Donham W.Chae Stefan K. Muller R.H.0001 R.Perera P.B.Levy G.Neis N.Feltman C.Angiuli K.Fatahalian Sam Westrick Rohan Yadav P.Bhatotia P.Fonseca B.B.Brandenburg R.Rodrigues D.Türkoglu A.Guatto F.Sieczkowski
Talks about:
comput (15) adjust (14) self (14) program (8) parallel (6) function (4) increment (3) schedul (3) work (3) type (3)
Person: Umut A. Acar
DBLP: Acar:Umut_A=
Contributed to:
Wrote 28 papers:
- ASPLOS-2015-Bhatotia0ABR #incremental #library #named #parallel #thread
- iThreads: A Threading Library for Parallel Incremental Computation (PB, PF, UAA, BBB, RR), pp. 645–659.
- ESOP-2015-CicekGA #complexity #incremental #refinement
- Refinement Types for Incremental Computational Complexity (EÇ, DG, UAA), pp. 406–431.
- ICFP-2014-ChenAT #functional #programming #scalability #self
- Functional programming for dynamic and large data with self-adjusting computation (YC, UAA, KT), pp. 227–240.
- PPDP-2014-CheneyAA #database #query
- Database Queries that Explain their Work (JC, AA, UAA), pp. 271–282.
- PPoPP-2013-AcarCR #parallel #scheduling #source code
- Scheduling parallel programs by work stealing with private deques (UAA, AC, MR), pp. 219–228.
- ESOP-2012-Ley-WildAB #self
- Non-monotonic Self-Adjusting Computation (RLW, UAA, GEB), pp. 476–496.
- ICFP-2012-PereraACL #functional #source code
- Functional programs that explain their work (RP, UAA, JC, PBL), pp. 365–376.
- PLDI-2012-ChenDA #automation
- Type-directed automatic incrementalization (YC, JD, UAA), pp. 299–310.
- ICFP-2011-ChenDHA #functional #self #source code
- Implicit self-adjusting computation for purely functional programs (YC, JD, MAH, UAA), pp. 129–141.
- OOPSLA-2011-AcarCR #parallel #scheduling
- Oracle scheduling: controlling granularity in implicitly parallel languages (UAA, AC, MR), pp. 499–518.
- OOPSLA-2011-HammerNCA #self #stack
- Self-adjusting stack machines (MAH, GN, YC, UAA), pp. 753–772.
- PLDI-2010-AcarBLTT #data type #self
- Traceable data types for self-adjusting computation (UAA, GEB, RLW, KT, DT), pp. 483–496.
- PEPM-2009-Acar #overview #self
- Self-adjusting computation: (an overview) (UAA), pp. 1–6.
- PLDI-2009-HammerAC #named #self
- CEAL: a C-based language for self-adjusting computation (MAH, UAA, YC), pp. 25–37.
- POPL-2009-Ley-WildAF #self #semantics
- A cost semantics for self-adjusting computation (RLW, UAA, MF), pp. 186–199.
- AFP-2008-AcarL08 #ml #self
- Self-adjusting Computation with Delta ML (UAA, RLW), pp. 1–38.
- ICFP-2008-Ley-WildFA #compilation #continuation #self #source code
- Compiling self-adjusting programs with continuations (RLW, MF, UAA), pp. 321–334.
- ISMM-2008-HammerA #memory management #self
- Memory management for self-adjusting computation (MAH, UAA), pp. 51–60.
- POPL-2008-AcarAB #imperative #self
- Imperative self-adjusting computation (UAA, AA, MB), pp. 309–322.
- ESOP-2007-AcarBD #consistency #self #semantics
- A Consistent Semantics of Self-adjusting Computation (UAA, MB, JD), pp. 458–474.
- ICFP-2006-BlumeAC #programming
- Extensible programming with first-class cases (MB, UAA, WC), pp. 239–250.
- PLDI-2006-AcarBBT #analysis #self
- An experimental analysis of self-adjusting computation (UAA, GEB, MB, KT), pp. 96–107.
- POPL-2003-AcarBH
- Selective memoization (UAA, GEB, RH), pp. 14–25.
- POPL-2002-AcarBH #adaptation #functional #programming
- Adaptive functional programming (UAA, GEB, RH), pp. 247–259.
- ESOP-2016-FeltmanAAF #automation #λ-calculus
- Automatically Splitting a Two-Stage Lambda Calculus (NF, CA, UAA, KF), pp. 255–281.
- PLDI-2017-MullerA0 #parallel #thread
- Responsive parallel computation: bridging competitive and cooperative threading (SKM, UAA, RH0), pp. 677–692.
- PLDI-2018-AcarCGRS #parallel #performance #scheduling
- Heartbeat scheduling: provable efficiency for nested parallelism (UAA, AC, AG, MR, FS), pp. 769–782.
- POPL-2020-WestrickYFA #source code
- Disentanglement in nested-parallel programs (SW, RY, MF, UAA), p. 32.