Travelled to:
1 × Australia
1 × India
1 × Spain
2 × China
2 × France
2 × Germany
5 × USA
Collaborated with:
J.Sartori X.Jian A.B.Kahng S.Kang D.L.Jones S.Kang H.S.Sawhney H.Duwe J.Sloan B.Ahrens T.Chan P.Gupta J.Gu S.S.Lumetta Y.Sun N.R.Shanbhag R.A.Abdallah S.Narayanan C.Rao Y.Guo S.Samarasekera S.C.Hsu K.J.Hanna J.C.Asmuth A.Pope S.Hsu
Talks about:
processor (5) design (4) stochast (3) correct (3) power (3) reliabl (2) registr (2) imageri (2) video (2) error (2)
Person: Rakesh Kumar
DBLP: Kumar:Rakesh
Contributed to:
Wrote 16 papers:
- HPCA-2015-DuweJ0 #fault #latency #predict
- Correction prediction: Reducing error correction latency for on-chip memories (HD, XJ, RK), pp. 463–475.
- HPCA-2013-JianK #adaptation #reliability
- Adaptive Reliability Chipkill Correct (ARCC) (XJ, RK), pp. 270–281.
- DAC-2012-SartoriK #compilation #energy #performance
- Compiling for energy efficiency on timing speculative processors (JS, RK), pp. 1301–1308.
- DAC-2012-SloanSK #design #on the #probability
- On software design for stochastic processors (JS, JS, RK), pp. 918–923.
- HPCA-2012-SartoriAK #pipes and filters
- Power balanced pipelines (JS, BA, RK), pp. 261–272.
- DATE-2011-ChanSGK #on the
- On the efficacy of NBTI mitigation techniques (TBC, JS, PG, RK), pp. 932–937.
- HPCA-2011-GuLKS #named
- MOPED: Orchestrating interprocess message data on CMPs (JG, SSL, RK, YS), pp. 111–120.
- DAC-2010-KahngKKS #design #power management
- Recovery-driven design: a power minimization methodology for error-tolerant processor modules (ABK, SK, RK, JS), pp. 825–830.
- DAC-2010-ShanbhagAKJ #probability
- Stochastic computation (NRS, RAA, RK, DLJ), pp. 859–864.
- DATE-2010-NarayananSKJ #probability #scalability
- Scalable stochastic processors (SN, JS, RK, DLJ), pp. 335–338.
- HPCA-2010-KahngKKS #design #reliability #trade-off
- Designing a processor from the ground up to allow voltage/reliability tradeoffs (ABK, SK, RK, JS), pp. 1–11.
- DATE-2009-SartoriK #architecture #distributed #manycore #power management
- Distributed peak power management for many-core architectures (JS, RK), pp. 1556–1559.
- DATE-2008-KangK #design #framework #machine learning #manycore #named #optimisation #performance
- Magellan: A Search and Machine Learning-based Framework for Fast Multi-core Design Space Exploration and Optimization (SK, RK), pp. 1432–1437.
- ICPR-v2-2006-RaoGSK #image
- A Heterogeneous Feature-based Image Alignment Method (CR, YG, HSS, RK), pp. 345–350.
- ICPR-v4-2000-KumarSHH #video
- Registration of Highly-Oblique and Zoomed in Aerial Video to Reference Imagery (RK, SS, SCH, KJH), pp. 4303–4307.
- ICPR-1998-0001SAPH #video
- Registration of video to geo-referenced imagery (RK, HSS, JCA, AP, SH), pp. 1393–1400.