In these architectures, data is distributed across several specialized data stores ... More importantly, the query optimizer should leverage in-memory parallel processing to perform post-processing ...

It, too, is a library for distributed parallel computing in Python ... accelerating machine-learning tasks or a particular data-processing framework. Pandaral·lel, as the name implies, is ...

Arif, Moiz, et al. "Application-Attuned Memory Management for Containerized HPC Workflows." Proceedings of the Proceedings of the 38th IEEE International Parallel & Distributed Processing Symposium ...

Parallelization is the one of the effective ways to enhance the performance of processing in the cloud. However, conventional parallel distributed processing has issues involving lower processing ...

Database vendor Sybase is upgrading its column-oriented database, Sybase IQ, to run on a massively parallel processing ... node in the system can share memory, processing and disk space with ...

Researchers at Tohoku University have discovered that there are two parallel processes involved in memory formation when ... be involved in the information processing in the brain, albeit in ...

Matsuoka, "Scaling Distributed Deep Learning Workloads beyond the Memory Capacity with KARMA," in Proceedings ... in Proceedings of the 33th IEEE International Parallel & Distributed Processing ...