Archive of posts tagged: Databases
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
Previous posts in the Computer Architecture Today series have explored how the broader adoption of smart NICs is providing applications a mechanism to push computation closer to the data and inside the network stack to hide the latency of accessing remote memory in a...
Data management on non-volatile memory
In a recent blog post, Steve Swanson presented three milestones that mark the adoption path of non-volatile memory by applications. The next step in this path is tailoring fundamental protocols and algorithms for non-volatile memory. We illustrate this point using...
Near Data Computing from a Database Systems Perspective
The end of Dennard scaling has exposed a widening gap between the demand to process ever-growing datasets and the capability of modern computers to do so. In a quest to make data processing faster and more power-efficient, researchers are revisiting the decades-old...Subscribe
