Archive of posts tagged: Operating Systems
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,...
Academics Should Build Their Own Computers to Advance Systems Research
This is a time of great interest in new hardware. Computers are becoming much more complex. The multicore era has given way to increasingly heterogeneous computing platforms. Modern SoCs contain a tremendous variety of processors, accelerators, and peripheral devices,...
The Looming Network Wall in Data-Intensive Computing
Fast, RDMA-capable networks present a “network wall” for data-intensive applications in a data center. Software developers are facing two unpalatable choices: either communicate using messages and re-implement features of TCP/IP in their application, or...
Leave your OS at home: the rise of library operating systems
The efficiency of Operating Systems (OSes) has always been in the spotlight of systems researchers, ever since the seminal Dijkstra’s THE multiprogramming system in early 60s. But the reason for this obsession is not entirely obvious. While the OS is commonly...Subscribe
