We design and implement a NUMA aware graph processing framework that embraces design philosophies of distributed graph processing system: in particular explicit ...

We demonstrate up to 13.9× speedup over a state-of-the-art NUMA- aware framework, Polymer and up to 3.7× scalability on a four- socket NUMA machine using graphs ...

We demonstrate up to 13.9x speedup over a state-of-the-art NUMA-aware framework, Polymer and up to 3.7x scalability on a four-socket machine using graphs with ...

We design and implement a NUMA aware graph processing framework that embraces design philosophies of distributed graph processing system: in particular explicit ...

We demonstrate up to 13.9x speedup over a state-of-the-art NUMA-aware framework, Polymer and up to 3.7x scalability on a four-socket NUMA machine.

This work designs and implements a NUMA aware graph processing framework that embraces design philosophies of distributed graph processing system: in ...

A parallel approach to simulated annealing is used to perform allocation at the data-flow graph level. It is also shown how the results apply to the allocation ...

We explore the distributed shared memory nature of NUMA systems to process graphs with more than 100 billion edges.

1 INTRODUCTION. Modern shared-memory systems embrace the NUMA architecture which has proven to be more scalable than the SMP architecture.

Dec 3, 2021 · We propose a NUMA-aware shared-memory parallel algorithm to accelerate the truss decomposition for NUMA systems.