Archive of posts tagged: Databases
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
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...Subscribe
