7 citations · 10 across the 2 of their papers we have counts for
5 papers
Accelerating Direction-Optimized Breadth First Search on Hybrid Architectures
Scott Sallinen, Abdullah Gharaibeh, Matei Ripeanu
Large scale-free graphs are famously difficult to process efficiently: the skewed vertex degree distribution makes it difficult to obtain balanced partitioning. Our research instea…
Efficient Large-Scale Graph Processing on Hybrid CPU and GPU Systems
Abdullah Gharaibeh, Tahsin Reza, Elizeu Santos-Neto +3
The increasing scale and wealth of inter-connected data, such as those accrued by social network applications, demand the design of new techniques and platforms to efficiently deri…
GPUs as Storage System Accelerators
Samer Al-Kiswany, Abdullah Gharaibeh, Matei Ripeanu
Massively multicore processors, such as Graphics Processing Units (GPUs), provide, at a comparable price, a one order of magnitude higher peak performance than traditional CPUs. Th…
CrystalGPU: Transparent and Efficient Utilization of GPU Power
Abdullah Gharaibeh, Samer Al-Kiswany, Matei Ripeanu
General-purpose computing on graphics processing units (GPGPU) has recently gained considerable attention in various domains such as bioinformatics, databases and distributed compu…
stdchk: A Checkpoint Storage System for Desktop Grid Computing
Samer Al Kiswany, Matei Ripeanu, Sudharshan S. Vazhkudai +1
Checkpointing is an indispensable technique to provide fault tolerance for long-running high-throughput applications like those running on desktop grids. This paper argues that a d…