Travelled to:1 × China
Collaborated with:O.Mutlu C.J.Rossbach S.Ghose R.Das A.Kumar M.Azimi M.Besta Syed Minhaj Hassan S.Yalamanchili T.Hoefler Chen Li 0015 Y.Zhang Yang Guo 0003 Jun Yang 0002 Vance Miller Joshua Landgraf Jayneel Gandhi A.Jog M.Sadrosadati A.Mirhosseini Seyed Borna Ehsani H.Sarbazi-Azad Mario Drumond B.Falsafi Amirali Boroumand Y.Kim Eric Shiu Rahul Thakur D.Kim Aki Kuusela A.Knies P.Ranganathan
Talks about:memori (3) system (2) regist (2) applic (2) multi (2) high (2) core (2) oversubscript (1) bottleneck (1) hierarchi (1)
Person: Rachata Ausavarungnirun
DBLP: Ausavarungnirun:Rachata
Contributed to:
2013
20182019Wrote 6 papers:
- 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.
- 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-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.