As artificial intelligence transforms from niche to omnipresent, the increased diversity of use-cases and workloads presents an ever-expanding set of platform challenges. With a lot...
Video • Aug 20, 2022
The AdePT project is an R&D activity led by CERN aiming to speed up the simulation of particle propagation in the detector regions dominated by electromagnetic physics. The project goals are to implement technical solutions...
Video • Aug 10, 2021Rapid growth in AI and machine learning innovations and workloads necessitates constant developments in both software and hardware infrastructure. TensorFlow, Google’s end-to-end open-source machine learning framework, and oneDNN have been collaborating closely to ensure users...
Video • Aug 10, 2021GROMACS is an open-source, high-performance molecular dynamics (MD) package primarily used for biomolecular simulations, accounting for ~5% of HPC utilization worldwide. Due to the extreme computing needs of MD, significant efforts are invested in improving...
Video • Aug 10, 2021Many workloads have inherent data parallelism which can be leveraged to achieve optimal performance. However, it is challenging to design data parallel programs and map them to different hardware targets. Intel’s Data Parallel C++ is...
Video • Aug 10, 2021In the age of AI, algorithms must efficiently cope with vast data sets. We propose a performance-portable implementation of Locality-Sensitive Hashing (LSH), an approximate k-nearest neighbors algorithm to speed up classification on heterogeneous hardware. Our...
Video • Aug 10, 2021HemeLB is a highly scalable, 3D blood flow solver capable of generating high-resolution simulations of blood flow through human-scale vasculatures. Post-processing such simulations is a significant challenge, particularly due to the volume of data generated....
Video • Aug 10, 2021