Our latest paper on the use of predictive models for accelerating GPU Convolution kernels on #ARM, #NVIDIA, and OpenCL based architectures is finally out. Read it here, free of charge. For a fast overview, check out Paolo’s presentation of the paper at Hipeac21! https://www.youtube.com/watch?v=_xlqzVP3s6s&t
News
Two new AR (post-doc) positions in Computational Mathematics (deadline 21.01.21)
We have opened two new positions in computational mathematics as part of the project “Fast H2-matrix Arithmetic Based Solvers for Thermonuclear Energy Research”. Find all information at this link. Applications must be completed before the 21st of January.
Upcoming Virtual HPC venues
Nvidia GTC, May 19 2020. Registration International Parallel and Distributed Processing Symposium (IPDPS), May 18 2020. Registration The International Symposium on Computer Architecture (ISCA), May 30 2020. Registration ISC High Performance 2020, June 22, 2020. Registration: TBA ACM International Conference on Computing Frontiers 2020. The exact date and registration TBA The 34th ACM International Conference […]
LACS joins COVID-19 fight
The Lab – within SPGAS project – joined the fight against COVID-19. One of the goals of the project is to design a new efficient algorithm for computing the infection rate according to a new centrality metric and SIR model. Check it out in the HiPEAC Info magazine.
Fully-funded PhD positions are available
The Laboratory for Advanced Computing and Systems (LACS) of the Computer Science Faculty at the Free University of Bozen-Bolzano offers to well-motivated and enthusiastic candidates several fully-funded PhD positions. Research areas of the group include modeling, algorithms and their analysis in the fields of high-performance computing, numerical linear algebra, graph analytics and machine learning and their intersections. […]
Here we go!
Finally, our new website is out!!! If you want to join us a lot of fully-funded PhD positions are coming out! Several Research topics available:– Parallel Computing on ARM Systems – GPU Computing – Graph Analytics – Parallel and Approximated Computation for accelerating Deep Learning and Graph Analytics – Linear Algebra – Numerical Methods for […]