2 citations · 2 across the 2 of their papers we have counts for
6 papers
Dr. Top-k: Delegate-Centric Top-k on GPUs
Anil Gaihre, Da Zheng, Scott Weitze +5
Recent top- computation efforts explore the possibility of revising various sorting algorithms to answer top- queries on GPUs. These endeavors, unfortunately, perform signifi…
Graphyti: A Semi-External Memory Graph Library for FlashGraph
Disa Mhembere, Da Zheng, Carey E. Priebe +2
Graph datasets exceed the in-memory capacity of most standalone machines. Traditionally, graph frameworks have overcome memory limitations through scale-out, distributing computing…
clusterNOR: A NUMA-Optimized Clustering Framework
Disa Mhembere, Da Zheng, Carey E. Priebe +2
Clustering algorithms are iterative and have complex data access patterns that result in many small random memory accesses. The performance of parallel implementations suffer from…
Challenges Towards Deploying Data Intensive Scientific Applications on Extreme Heterogeneity Supercomputers
Hang Liu, Yufei Ding, Da Zheng +2
Shrinking transistors, which powered the advancement of computing in the past half century, has stalled due to power wall; now extreme heterogeneity is promised to be the next driv…
An SSD-based eigensolver for spectral analysis on billion-node graphs
Da Zheng, Randal Burns, Joshua Vogelstein +2
Many eigensolvers such as ARPACK and Anasazi have been developed to compute eigenvalues of a large sparse matrix. These eigensolvers are limited by the capacity of RAM. They run in…
Optimize Unsynchronized Garbage Collection in an SSD Array
Da Zheng, Randal Burns, Alexander S. Szalay
Solid state disks (SSDs) have advanced to outperform traditional hard drives significantly in both random reads and writes. However, heavy random writes trigger fre- quent garbage…