14 citations · 30 across the 5 of their papers we have counts for
5 papers
Execution Templates: Caching Control Plane Decisions for Strong Scaling of Data Analytics
Omid Mashayekhi, Hang Qu, Chinmayee Shah +1
Control planes of cloud frameworks trade off between scheduling granularity and performance. Centralized systems schedule at task granularity, but only schedule a few thousand task…
Scalable, Fast Cloud Computing with Execution Templates
Omid Mashayekhi, Hang Qu, Chinmayee Shah +1
Large scale cloud data analytics applications are often CPU bound. Most of these cycles are wasted: benchmarks written in C++ run 10-51 times faster than frameworks such as Naiad a…
Distributed Graphical Simulation in the Cloud
Omid Mashayekhi, Chinmayee Shah, Hang Qu +2
Graphical simulations are a cornerstone of modern media and films. But existing software packages are designed to run on HPC nodes, and perform poorly in the computing cloud. These…
Canary: A Scheduling Architecture for High Performance Cloud Computing
Hang Qu, Omid Mashayekhi, David Terei +1
We present Canary, a scheduling architecture that allows high performance analytics workloads to scale out to run on thousands of cores. Canary is motivated by the observation that…
New Power Estimation Methods for Highly Overloaded Synchronous CDMA Systems
Damoun Nashtaali, Omid Mashayekhi, Pedram Pad +2
In CDMA systems, the received user powers vary due to moving distance of users. Thus, the CDMA receivers consist of two stages. The first stage is the power estimator and the secon…