I am a PhD candidate advised by Professor Rajiv Gupta at the University of California, Riverside. I am also fortunate to work with Professor Guoqing (Harry) Xu  from University of California, Irvine.
I am broadly interested in various aspects of  Parallel & Distributed Computing like Performance, Scalability, Programmability & Fault Tolerance. I am part of the GRASP team which focuses on fast and scalable solutions for graph processing.

(Click here for complete list of publications.)
  1. [ATC'16] Load the Edges You Need: A Generic I/O Optimization for Disk-based Graph Processing
    K. Vora, G. Xu, and R. Gupta
    USENIX Annual Technical Conference.
    (Acceptance Rate: 17.67%, 47/266)
  2. [HPDC'16] Efficient Processing of Large Graphs via Input Reduction
    A. Kusum, K. Vora, R. Gupta, and I. Neamtiu
    25th ACM International Symposium on High-Performance Parallel and Distributed Computing.
    (Acceptance Rate: 15.50%, 20/129)
  3. [OOPSLA'14] ASPIRE: Exploiting Asynchronous Parallelism in Iterative Algorithms using a Relaxed Consistency based DSM
    K. Vora, S-C. Koduru, and R. Gupta
    ACM SIGPLAN International Conference on Object Oriented Programming Systems, Languages and Applications.
    (Acceptance Rate: 27.96%, 52/186)
  4. [HPDC'14] CuSha: Vertex-Centric Graph Processing on GPUs
    F. Khorasani, K. Vora, R. Gupta, and L.N. Bhuyan
    23rd ACM International Symposium on High Performance Parallel and Distributed Computing.
    (Acceptance Rate: 16.15%, 21/130)