BFS soc-orkut.mtx -with-header -src=0 -device=0 -verbose:Īll the libraryies, examples, and source codes of GSWITCH are released under Apache 2.0. filter(as, g, f, stats, fets, conf) Įxecutor. ![]() inspect(as, g, f, stats, fets, conf) Įxecutor. _device_ int emit( int vid, Empty *w, G g) # include "gswitch.h " using G = device_graph_t Developers can implements their graph application with high performance in just ~100 lines of code.įor more details, please visit our website. In addition, GSWITCH provides succinct programming interface which hides all low-level tuning details. ![]() With multiplayer game mode, you are going to use two different booster and cloning. Besides, you should be careful with your way which are trapped with sawblades. You will need to control two runner in the single player game mode from now on. ![]() The model can be reused by news applications, or be retrained to adapt new architectures. G-Switch presents lots of newness to you in the third chapter. The fast optimization transition of GSWITCH is based on a machine learning model trained from 600+ real graphs from the network repository. Specifically, It is a CUDA library targeting the GPU-based graph processing application, it supports both vertex-centric or edge-centric abstractions.īy far, GSWITCH can automatically determine the suitable optimization variants in Direction (push, pull), data-structure (Bitmap, Sorted Queue, Unsorted Queue), Load-Balance (TWC, WM, CM, STRICT, 2D-partition), Stepping (Increase, Decrease, Remain), Kernel Fusion(Standalone, Fused). GSWITCH is a pattern-based algorithmic autotuning system that dynamically switched to the suitable optimization variants with negligible overhead.
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