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Travelled to:
1 × Israel
2 × Canada
2 × France
2 × Germany
2 × United Kingdom
5 × USA
Collaborated with:
L.Avinash P.G.Spirakis Z.M.Kedem C.C.Enz ∅ S.Muthukrishnan A.Raghunathan B.B.Simons C.Piguet P.Korkmaz J.Augustine Parishkrati S.Yenugula S.E.Nikoletseas M.Yung M.O.Rabin G.M.Kuper K.McAloon K.J.Perry A.Basu J.Nagel R.M.Rabbah V.J.Mooney K.Puttaswamy L.N.Chakrapani B.E.S.Akgul S.Cheemalavagu B.Seshasayee G.P.Arumugam P.Srikanthan E.Upfal A.Bhargava P.D.Düben J.Schlachter T.N.Palmer
Talks about:
comput (7) effici (6) algorithm (4) parallel (4) inexact (4) energi (4) design (3) probabilist (2) random (2) memori (2)

Person: Krishna V. Palem

DBLP DBLP: Palem:Krishna_V=

Contributed to:

DATE 20152015
PLDI 20142014
DAC 20132013
DAC 20122012
DATE 20112011
DATE 20062006
LCTES/SCOPES 20022002
ICALP 19941994
STOC 19941994
STOC 19921992
STOC 19911991
POPL 19901990
STOC 19901990
LICS 19881988

Wrote 15 papers:

DATE-2015-ArumugamSAPUBPY #algorithm #co-evolution #design #energy #memory management #novel #performance
Novel inexact memory aware algorithm co-design for energy efficient computation: algorithmic principles (GPA, PS, JA, KVP, EU, AB, P, SY), pp. 752–757.
DATE-2015-DubenSPYAEPP #big data #case study #energy #performance
Opportunities for energy efficient computing: a study of inexact general purpose processors for high-performance and big-data applications (PDD, JS, P, SY, JA, CCE, KVP, TNP), pp. 764–769.
PLDI-2014-Palem #question #what
What exactly is inexact computation good for? (KVP), p. 1.
DAC-2013-AvinashBEPP #energy #fault #hardware
Improving energy gains of inexact DSP hardware through reciprocative error compensation (LA, AB, CCE, KVP, CP), p. 8.
DAC-2012-PalemA #exclamation #what
What to do about the end of Moore’s law, probably! (KVP, LA), pp. 924–929.
DATE-2011-AvinashENPP #design #energy #probability
Energy parsimonious circuit design through probabilistic pruning (LA, CCE, JLN, KVP, CP), pp. 764–769.
DATE-2006-ChakrapaniACKPS #architecture #embedded #probability
Ultra-efficient (embedded) SOC architectures based on probabilistic CMOS (PCMOS) technology (LNC, BESA, SC, PK, KVP, BS), pp. 1110–1115.
LCTES-SCOPES-2002-PalemRMKP #design #embedded #memory management #optimisation
Design space optimization of embedded memory systems via data remapping (KVP, RMR, VJM, PK, KP), pp. 28–37.
ICALP-1994-NikolestseasPSY #graph #multi #network #random #reliability
Short Vertex Disjoint Paths and Multiconnectivity in Random Graphs: Reliable Network Computing (SEN, KVP, PGS, MY), pp. 508–519.
STOC-1994-MuthukrishnanP #algorithm #complexity #standard #string
Non-standard stringology: algorithms and complexity (SM, KVP), pp. 770–779.
STOC-1992-KedemPRR #parallel #performance #program transformation
Efficient Program Transformations for Resilient Parallel Computation via Randomization (ZMK, KVP, MOR, AR), pp. 306–317.
STOC-1991-KedemPRS #parallel #performance
Combining Tentative and Definite Executions for Very Fast Dependable Parallel Computing (ZMK, KVP, AR, PGS), pp. 381–390.
POPL-1990-PalemS #scheduling
Scheduling Time-Critical Instructions on RISC Machines (KVP, BBS), pp. 270–280.
STOC-1990-KedemPS #parallel #performance #robust
Efficient Robust Parallel Computations (ZMK, KVP, PGS), pp. 138–148.
LICS-1988-KuperMPP #algorithm #anti #parallel #performance
Efficient Parallel Algorithms for Anti-Unification and Relative Complement (GMK, KM, KVP, KJP), pp. 112–120.
Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
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