5 citations · 5 across the 3 of their papers we have counts for
6 papers
PGAbB: A Block-Based Graph Processing Framework for Heterogeneous Platforms
Abdurrahman Yasar, Sivasankaran Rajamanickam, Jonathan W. Berry +1
Designing flexible graph kernels that can run well on various platforms is a crucial research problem due to the frequent usage of graphs for modeling data and recent architectural…
A Block-Based Triangle Counting Algorithm on Heterogeneous Environments
Abdurrahman Yaşar, Sivasankaran Rajamanickam, Jonathan Berry +1
Triangle counting is a fundamental building block in graph algorithms. In this paper, we propose a block-based triangle counting algorithm to reduce data movement during both seque…
On Symmetric Rectilinear Matrix Partitioning
Abdurrahman Yaşar, Muhammed Fatih Balin, Xiaojing An +2
Even distribution of irregular workload to processing units is crucial for efficient parallelization in many applications. In this work, we are concerned with a spatial partitionin…
Heuristics for Symmetric Rectilinear Matrix Partitioning
Abdurrahman Yaşar, Ümit V. Çatalyürek
Partitioning sparse matrices and graphs is a common and important problem in many scientific and graph analytics applications. In this work, we are concerned with a spatial partiti…
Programming Strategies for Irregular Algorithms on the Emu Chick
Eric Hein, Srinivas Eswar, Abdurrahman Yaşar +7
The Emu Chick prototype implements migratory memory-side processing in a novel hardware system. Rather than transferring large amounts of data across the system interconnect, the E…
An Iterative Global Structure-Assisted Labeled Network Aligner
Abdurrahman Yaşar, Ümit V. Çatalyürek
Integrating data from heterogeneous sources is often modeled as merging graphs. Given two or more 'compatible', but not-isomorphic graphs, the first step is to identify a graph ali…