Flint Flaking

Joseph Marshall Flint

NTL vs FLINT

All tests were carried out on a very lightly loaded machine with a 64-bit Intel “Haswell” CPU (Intel Xeon CPU E5-2698 v3 at 2.30GHz) with plenty of memory (over 250GB). The operating system was Cent OS. The compiler was gcc v4.8.5. We compared NTL v9.9.1 with FLINT v2.5.2. These were both built using GMP v6.1.0. All of these were the most recent releases of these packages at the time we carried...

Effects of various roughage levels with whole flint corn grain on performance of finishing cattle.

Performance responses to steam flaking flint corn as well as to the addition of roughage to finishing diets composed of whole flint corn were evaluated. Ninety-six Nellore bulls were stratified by initial BW (373 ± 11 kg) and randomly allotted to 16 feedlot pens (6 bulls/pen) in a randomized complete block design with 4 replicates/treatment. Dietary treatments for the 86-d feeding trial consist...

Serverless Data Analytics with Flint

Serverless architectures organized around looselycoupled function invocations represent an emerging design for many applications. Recent work mostly focuses on user-facing products and event-driven processing pipelines. In this paper, we explore a completely different part of the application space and examine the feasibility of analytical processing on big data using a serverless architecture. ...

FLINT: Fault Localisation using Information Theory

Test case prioritisation techniques aim to maximise the chance of fault detection as early in testing as possible. This is most commonly achieved by prioritising the tests according to a surrogate measure that is thought to correspond to fault detection capabilities, such as code coverage. However, once the prioritised test suite indeed detects a fault, the original prioritisation may become ob...