• Home
• People
• Jobs
• Visit
• Thesis Topics
• Publications
• Research
• Performance
• Parallel Programming
• HTM for Graphs
• ftRMA
• foMPI_NA
• Active Access
• GMS
• NB Collectives
• Matchings-FPGA
• Polly-ACC
• PushPull
• FFlib
• sPIN
• DARE
• MPI Datatypes
• TinyMPI
• Par./Dist. Deep Learning
• Atomics
• CoMPIler
• GDI
• motifs-GNNs
• foMPI
• MPI Topologies
• dCUDA
• cDAG
• CLaMPI
• MODESTO
• Secure Communication
• Scalable Networking
• Bcast
• Teaching
• Contact

SPONSORS

COLLABORATIONS

The source code of the experiments in the papers listed below: LINK

References

HPDC'17	[1] M. Besta, M. Podstawski, L. Groner, E. Solomonik, T. Hoefler:
		To Push or To Pull: On Reducing Communication and Synchronization in Graph Computations In Proceedings of the 26th International Symposium on High-Performance Parallel and Distributed Computing (HPDC'17), presented in Washington, DC, USA, ACM, Jun. 2017, (acceptance rate: 19%)