10 citations · 12 across the 5 of their papers we have counts for
3 papers · 1 filter
Resolvable Designs for Speeding up Distributed Computing
Konstantinos Konstantinidis, Aditya Ramamoorthy
Distributed computing frameworks such as MapReduce are often used to process large computational jobs. They operate by partitioning each job into smaller tasks executed on differen…
CAMR: Coded Aggregated MapReduce
Konstantinos Konstantinidis, Aditya Ramamoorthy
Many big data algorithms executed on MapReduce-like systems have a shuffle phase that often dominates the overall job execution time. Recent work has demonstrated schemes where the…
Erasure coding for distributed matrix multiplication for matrices with bounded entries
Li Tang, Konstantinos Konstantinidis, Aditya Ramamoorthy
Distributed matrix multiplication is widely used in several scientific domains. It is well recognized that computation times on distributed clusters are often dominated by the slow…