Travelled to:
1 × China
1 × France
1 × Germany
1 × India
1 × United Kingdom
15 × USA
Collaborated with:
Y.N.Patt H.Kim Y.Kim R.Ausavarungnirun M.A.Suleman Y.Cai E.F.Haratsch K.Mai J.A.Joao C.Wilkerson E.Ebrahimi V.Seshadri ∅ C.J.Lee A.K.Mishra C.R.Das D.Lee L.Subramanian S.M.Khan A.R.Alameldeen C.Fallin C.Craik G.Pekhimenko K.K.Chang C.J.Rossbach A.Jog D.Han M.Harchol-Balter M.K.Qureshi B.Grot J.Hestness S.W.Keckler S.Srinath J.Stark S.Ghose Y.Luo D.A.Jiménez R.Das A.Kumar M.Azimi B.Jaiyen R.Agarwal J.Liu M.Besta Syed Minhaj Hassan S.Yalamanchili T.Hoefler T.Huberty R.Cai P.B.Gibbons M.A.Kozuch T.C.Mowry Z.Chishti Amir M. Rahmani Bryan Donyanavard Tiago Mück Kasra Moazzemi A.Jantsch N.D.Dutt Chen Li 0015 Y.Zhang Yang Guo 0003 Jun Yang 0002 M.Kim J.Park Genhee Cho Yoona Kim Lois Orosa J.Kim O.Kayiran N.C.Nachiappan M.T.Kandemir R.Iyer Vance Miller Joshua Landgraf Jayneel Gandhi M.Sadrosadati A.Mirhosseini Seyed Borna Ehsani H.Sarbazi-Azad Mario Drumond B.Falsafi C.Wang H.Cui T.Cao John Zigman Haris Volos 0001 F.Lv X.F.0002 Guoqing Harry Xu Amirali Boroumand Y.Kim Eric Shiu Rahul Thakur D.Kim Aki Kuusela A.Knies P.Ranganathan
Talks about:
memori (12) perform (9) system (8) improv (6) data (6) core (6) prefetch (5) dram (5) effici (4) applic (4)
Person: Onur Mutlu
DBLP: Mutlu:Onur
Contributed to:
Wrote 34 papers:
- HPCA-2015-CaiLHMM #memory management #optimisation
- Data retention in MLC NAND flash memory: Characterization, optimization, and recovery (YC, YL, EFH, KM, OM), pp. 551–563.
- HPCA-2015-LeeKPKSCM #adaptation #optimisation
- Adaptive-latency DRAM: Optimizing DRAM timing for the common-case (DL, YK, GP, SMK, VS, KKWC, OM), pp. 489–501.
- HPCA-2015-PekhimenkoHCMGK #reuse
- Exploiting compressed block size as an indicator of future reuse (GP, TH, RC, OM, PBG, MAK, TCM), pp. 51–63.
- HPCA-2014-ChangLCAWKM #performance
- Improving DRAM performance by parallelizing refreshes with accesses (KKWC, DL, ZC, ARA, CW, YK, OM), pp. 356–367.
- HPCA-2014-KhanAWMJ #clustering #performance #using
- Improving cache performance using read-write partitioning (SMK, ARA, CW, OM, DAJ), pp. 452–463.
- ASPLOS-2013-JogKNMKMID #array #concurrent #named #owl #performance #scheduling #thread
- OWL: cooperative thread array aware scheduling techniques for improving GPGPU performance (AJ, OK, NCN, AKM, MTK, OM, RI, CRD), pp. 395–406.
- DAC-2013-MishraMD #approach #design #multi
- A heterogeneous multiple network-on-chip design: an application-aware approach (AKM, OM, CRD), p. 10.
- DATE-2013-CaiHMM #analysis #memory management #modelling
- Threshold voltage distribution in MLC NAND flash memory: characterization, analysis, and modeling (YC, EFH, OM, KM), pp. 1285–1290.
- HPCA-2013-DasAMKA #manycore #memory management #policy
- Application-to-core mapping policies to reduce memory system interference in multi-core systems (RD, RA, OM, AK, MA), pp. 107–118.
- HPCA-2013-LeeKSLSM #architecture #latency #low cost
- Tiered-latency DRAM: A low latency and low cost DRAM architecture (DL, YK, VS, JL, LS, OM), pp. 615–626.
- HPCA-2013-SubramanianSKJM #in memory #memory management #named #performance #predict
- MISE: Providing performance predictability and improving fairness in shared main memory systems (LS, VS, YK, BJ, OM), pp. 639–650.
- ASPLOS-2012-JoaoSMP #identification #parallel #scheduling #thread
- Bottleneck identification and scheduling in multithreaded applications (JAJ, MAS, OM, YNP), pp. 223–234.
- DATE-2012-CaiHMM #analysis #fault #memory management #metric
- Error patterns in MLC NAND flash memory: Measurement, characterization, and analysis (YC, EFH, OM, KM), pp. 521–526.
- HPCA-2011-FallinCM #named
- CHIPPER: A low-complexity bufferless deflection router (CF, CC, OM), pp. 144–155.
- ISMM-2011-Mutlu #challenge #manycore #memory management
- Memory systems in the many-core era: challenges, opportunities, and solution directions (OM), pp. 77–78.
- ASPLOS-2010-EbrahimiLMP #configuration management #manycore #memory management
- Fairness via source throttling: a configurable and high-performance fairness substrate for multi-core memory systems (EE, CJL, OM, YNP), pp. 335–346.
- HPCA-2010-KimHMH #algorithm #memory management #multi #named #scalability #scheduling
- ATLAS: A scalable and high-performance scheduling algorithm for multiple memory controllers (YK, DH, OM, MHB), pp. 1–12.
- ASPLOS-2009-SulemanMQP #architecture #execution #manycore #symmetry
- Accelerating critical section execution with asymmetric multi-core architectures (MAS, OM, MKQ, YNP), pp. 253–264.
- HPCA-2009-EbrahimiMP #data type #hybrid #linked data #open data
- Techniques for bandwidth-efficient prefetching of linked data structures in hybrid prefetching systems (EE, OM, YNP), pp. 7–17.
- HPCA-2009-GrotHKM
- Express Cube Topologies for on-Chip Interconnects (BG, JH, SWK, OM), pp. 163–174.
- ASPLOS-2008-JoaoMKAP #object-oriented #performance
- Improving the performance of object-oriented languages with dynamic predication of indirect jumps (JAJ, OM, HK, RA, YNP), pp. 80–90.
- HPCA-2008-LeeKMP #predict #using
- Performance-aware speculation control using wrong path usefulness prediction (CJL, HK, OM, YNP), pp. 39–49.
- CGO-2007-KimJMP #compilation
- Profile-assisted Compiler Support for Dynamic Predication in Diverge-Merge Processors (HK, JAJ, OM, YNP), pp. 367–378.
- HPCA-2007-SrinathMKP #feedback #hardware #performance
- Feedback Directed Prefetching: Improving the Performance and Bandwidth-Efficiency of Hardware Prefetchers (SS, OM, HK, YNP), pp. 63–74.
- CGO-2006-KimSMP #2d #branch #detection #named #set
- 2D-Profiling: Detecting Input-Dependent Branches with a Single Input Data Set (HK, MAS, OM, YNP), pp. 159–172.
- HPCA-2003-MutluSWP #execution #scalability
- Runahead Execution: An Alternative to Very Large Instruction Windows for Out-of-Order Processors (OM, JS, CW, YNP), pp. 129–140.
- PLDI-2019-WangCCZVML0X #big data #hybrid #memory management #named
- Panthera: holistic memory management for big data processing over hybrid memories (CW, HC, TC, JZ, HV0, OM, FL, XF0, GHX), pp. 347–362.
- ASPLOS-2018-Ausavarungnirun #concurrent #gpu #memory management #multi #named
- MASK: Redesigning the GPU Memory Hierarchy to Support Multi-Application Concurrency (RA, VM, JL, SG, JG, AJ, CJR, OM), pp. 503–518.
- ASPLOS-2018-BestaHYAMH #energy #network #performance #scalability
- Slim NoC: A Low-Diameter On-Chip Network Topology for High Energy Efficiency and Scalability (MB, SMH, SY, RA, OM, TH), pp. 43–55.
- ASPLOS-2018-BoroumandGKASTK #data flow
- Google Workloads for Consumer Devices: Mitigating Data Movement Bottlenecks (AB, SG, YK, RA, ES, RT, DK, AK, AK, PR, OM), pp. 316–331.
- ASPLOS-2018-RahmaniDMMJMD #coordination #manycore #named #resource management
- SPECTR: Formal Supervisory Control and Coordination for Many-core Systems Resource Management (AMR, BD, TM, KM, AJ, OM, NDD), pp. 169–183.
- ASPLOS-2018-SadrosadatiMESD #hardware #named
- LTRF: Enabling High-Capacity Register Files for GPUs via Hardware/Software Cooperative Register Prefetching (MS, AM, SBE, HSA, MD, BF, RA, OM), pp. 489–502.
- ASPLOS-2019-0015ARZMGY #framework #memory management
- A Framework for Memory Oversubscription Management in Graphics Processing Units (CL0, RA, CJR, YZ, OM, YG0, JY0), pp. 49–63.
- ASPLOS-2020-KimPCKOMK #architecture #named #performance
- Evanesco: Architectural Support for Efficient Data Sanitization in Modern Flash-Based Storage Systems (MK, JP, GC, YK, LO, OM, JK), pp. 1311–1326.