Datacenter systems and I/O devices now run at single-digit microsecond latencies, requiring ns-scale operating systems. Traditional kernel-based operating systems impose an unaffordable overhead, so recent kernel-bypass OSes [73] and libraries [23] eliminate the OS kernel from the I/O datapath. However, none of these systems offer a general-purpose datapath OS replacement that meet the needs of μs-scale systems.' [email protected] paper proposes Demikernel, a flexible datapath OS and architecture designed for heterogenous kernel-bypass devices and μs-scale datacenter systems. We build two prototype Demikernel OSes and show that minimal effort is needed to port existing μs-scale systems. Once ported, Demikernel lets applications run across heterogenous kernel-bypass devices with ns-scale overheads and no code changes.

Despite being spoken by a large percentage of the world, Indic languages in general lack user-friendly and efficient methods for text input. These languages have poor or no support for typing. Soft keyboards, because of their ease of installation and lack of reliance on specific hardware, are a promising solution as an input device for many languages. Developing an acceptable soft keyboard requires the frequency analysis of characters in order to design a layout that minimizes text-input time. This article proposes the use of various development techniques, layout variations, and evaluation methods for the creation of soft keyboards for Brahmic scripts. We propose that using optimization techniques such as genetic algorithms and multi-objective Pareto optimization to develop multi-layer keyboards will increase the speed at which text can be entered.