The Bit Twiddling Hacks website collects an array of useful code fragments that implement some very specific computations very efficiently. Here we collect references to some handy code fragments for SIMD based computation. Technical Posts
Monthly archives: November 2023
6 posts
We are currently seeking to appoint an exceptional candidate to the post of Research Fellow. The post holder will perform research on deployment of machine-learned models for health analytics on distributed IoT/edge/cloud systems using transprecise computing and contribute to the research project “Sustainable Wearable Edge InTelligence (SWEET)”. The successful candidate […]
We are recruiting a post-doctoral researcher or research assistant with expertise in parallel computing and GPU programming to work on the RAPID project, looking at real-time analytics in manufacturing. Closing date is 6 December 2023. Advert: https://hrwebapp.qub.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?VACANCY_ID=697817LSP2&WVID=6273090Lgx&LANG=USA
The NI-HPC user conference was organised at Riddel Hall, Queen’s University, Belfast, on 7 November 2023. Syed Tauhidi attended the conference and presented his work on “Graphlet-based Filtering for Subgraph Isomorphism Search”.
We are seeking to recruit a an excellent PhD candidate on the project “SWEET: Hardware and Software for Sustainable Wearable Edge InTelligence”, seeking to optimise performance and energy efficiency of machine learning inference in response to time-varying conditions. Interested applicants can apply here: https://www.qub.ac.uk/courses/postgraduate-research/phd-opportunities/optimising-speed-energy-and-quality-of-machine-learning-models-with-transprecise-computing.html
I recently travelled to Marrakech, Morocco, to present my research at the 9th International Conference on Metaheuristics and Nature-Inspired Computing (META 2023). Held from November 1–4, 2023, the conference provided an incredible atmosphere for discussing how meta-heuristics can tackle complex optimisation problems. My paper, “Machine learning-based per-instance algorithm selection for […]