PACE Lab : Programming Languages, Architecture, Compilers Education LaboratoryLink to Lab Webpage

Research AreasMemory System Design, Network-on-chip architectures, Cache Design in Multicore, Program Analysis, Parallelization, Code Optimization.
MembersFaculty : Madhu Mutyam, V. Krishna Nandivada, Rupesh Nasre.

Students/Scholars :
Project Staffs :

Recent Publications
  • Graffix: Efficient Graph Processing with a Tinge of GPU-Specific Approximations.  
           Somesh Singh , Rupesh Nasre
          Appeared in ICPP 2020: 49th International Conference on Parallel Processing, Edmonton, AB, Canada, August 17-20, 2020, pp.23:1-23:11, Aug 2020
  • Fuzzy fairness controller for NVMe SSDs.  
           Shivani Tripathy , Debiprasanna Sahoo , Manoranjan Satpathy , Madhu Mutyam
          Appeared in ICS '20: 2020 International Conference on Supercomputing, Barcelona Spain, June, 2020, pp.22:1-22:12, Jun 2020
  • Chunking loops with non-uniform workloads.  
           Indu K. Prabhu , V. Krishna Nandivada
          Appeared in ICS '20: 2020 International Conference on Supercomputing, Barcelona Spain, June, 2020, pp.40:1-40:12, Jun 2020
  • A Study of Graph Analytics for Massive Datasets on Distributed Multi-GPUs.  
           Vishwesh Jatala , Roshan Dathathri , Gurbinder Gill , Loc Hoang , V. Krishna Nandivada , Keshav Pingali
          Appeared in 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), New Orleans, LA, USA, May 18-22, 2020, pp.84-94, May 2020
  • Orion: time estimated causally consistent key-value store.  
           Diptanshu Kakwani , Rupesh Nasre
          Appeared in 7th Workshop on Principles and Practice of Consistency for Distributed Data, PaPoC@EuroSys 2020, Heraklion, Greece, April 27, 2020, pp.3:1-3:6, Apr 2020

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