Abstract
Vectorization and GPUs will profoundly change graph processing. Traditional graph algorithms tuned for 32-or 64-bit based memory accesses will be inefficient on architectures with 512-bit wide (or larger) instruction units that are already present in the Intel Knights Landing (KNL) manycore CPU. Anticipating this shift, we propose SlimSell: A vectorizable graph representation to accelerate Breadth-First Search (BFS) based on sparse-matrix dense-vector (SpMV) products. SlimSell extends and combines the state-of-the-art SIMD-friendly Sell-C-σ matrix storage format with tropical, real, boolean, and sel-max semiring operations. The resulting design reduces the necessary storage (by up to 50%) and thus pressure on the memory subsystem. We augment SlimSell with the SlimWork and SlimChunk schemes that reduce the amount of work and improve load balance, further accelerating BFS. We evaluate all the schemes on Intel Haswell multicore CPUs, the state-of-the-art Intel Xeon Phi KNL manycore CPUs, and NVIDIA Tesla GPUs. Our experiments indicate which semiring offers highest speedups for BFS and illustrate that SlimSell accelerates a tuned Graph500 BFS code by up to 33%. This work shows that vectorization can secure high-performance in BFS based on SpMV products; the proposed principles and designs can be extended to other graph algorithms.
Original language | English (US) |
---|---|
Title of host publication | Proceedings - 2017 IEEE 31st International Parallel and Distributed Processing Symposium, IPDPS 2017 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 32-41 |
Number of pages | 10 |
ISBN (Electronic) | 9781538639146 |
DOIs | |
State | Published - Jun 30 2017 |
Event | 31st IEEE International Parallel and Distributed Processing Symposium, IPDPS 2017 - Orlando, United States Duration: May 29 2017 → Jun 2 2017 |
Publication series
Name | Proceedings - 2017 IEEE 31st International Parallel and Distributed Processing Symposium, IPDPS 2017 |
---|
Other
Other | 31st IEEE International Parallel and Distributed Processing Symposium, IPDPS 2017 |
---|---|
Country/Territory | United States |
City | Orlando |
Period | 5/29/17 → 6/2/17 |
Keywords
- BFS
- Graph Algorithms
- Graph Processing
- Graph Representations
- Graph Storage
- Vectorization
ASJC Scopus subject areas
- Information Systems
- Computer Networks and Communications
- Hardware and Architecture