![Computation Pushdown across Layers in the Storage Hierarchy](https://www.sigarch.org/wp-content/uploads/2022/04/AdobeStock_234259160-300x175.jpeg)
Archive of posts tagged: Databases
![Computation Pushdown across Layers in the Storage Hierarchy](https://www.sigarch.org/wp-content/uploads/2022/04/AdobeStock_234259160-300x175.jpeg)
![Data Analytics on GPUs with Fast, Coherent Interconnects](https://www.sigarch.org/wp-content/uploads/2020/09/AdobeStock_205157110-300x175.jpeg)
Data Analytics on GPUs with Fast, Coherent Interconnects
GPUs have outgrown their role as dedicated graphics processing units and are now a prominent, mainstream platform for general-purpose parallel computing. Evidence of the growing popularity of GPUs can be seen in cloud vendors offering GPU instances for cents per hour,...![From FLOPS to IOPS: The New Bottlenecks of Scientific Computing](https://www.sigarch.org/wp-content/uploads/2019/12/AdobeStock_131794461-300x175.jpeg)
From FLOPS to IOPS: The New Bottlenecks of Scientific Computing
More than a decade ago, the pioneering computer scientist Jim Gray envisioned a fourth paradigm of scientific discovery that uses computers to solve data-intensive scientific problems. Today, scientific discovery, whether observational, in-silico or experimental,...![Hardware Acceleration Opportunities for Machine Learning on Massive Datasets](https://www.sigarch.org/wp-content/uploads/2019/05/AdobeStock_220790568-300x175.jpeg)
Hardware Acceleration Opportunities for Machine Learning on Massive Datasets
Data management research has recently been paying more attention on how to run machine learning algorithms efficiently on massive datasets. This blog post focuses on three recent research papers that identify time-consuming data processing operations in machine...![Scaling the Network Wall in Data-Intensive Computing](https://www.sigarch.org/wp-content/uploads/2019/02/AdobeStock_200146313-300x175.jpeg)