Research Publications

We record performance measurements on Micron 5210 SSD related to Machine Learning workflow. Even though Machine Learning is highly CPU intensive, fast storage can lower training time through faster file ...

This paper reports a performance-based comparison of six state-of-the-art C/C++ compilers: AOCC, Clang, G++, Intel C++ compiler, PGC++, and Zapcc. We measure two aspects of the compilers’ performance: The speed of ...

Pablo Gonzalez-de-Aledoa, Andrey Vladimirovd, Marco Mancab, Jerry Baughc, Ryo Asaid, Marcus Kaisere,f, Roman Bauerf,e a Software Performance Optimization Group, Imperial College London, London, United Kingdom b CERN Openlab, IT Department, CERN, Switzerland c ...

This publication demonstrates the process of optimizing an object detection inference workload on an Intel® Xeon® Scalable processor using TensorFlow. This project pursues two objectives: Achieve object detection with real-time throughput ...

This paper reports a performance-based comparison of six state-of-the-art C/C++ compilers: AOCC, Clang, G++, Intel C++ compiler, PGC++, and Zapcc. We measure two aspects of the compilers’ performance: The speed of ...

This paper reports on the value and performance for computational applications of the Intel® distribution for Python* 2017 Beta on 2nd generation Intel® Xeon Phi™ processors (formerly codenamed Knights Landing). ...

This technical publication provides instructions for installing the Intel Manycore Platform Software Stack (MPSS) version 3.3 in Arch Linux operating system. Intel MPSS is a suite of tools necessary for ...

The key innovation brought about by Intel Xeon Phi coprocessors is the possibility to port most HPC applications to manycore computing accelerators without code modification. One of the reasons why ...

Our recent publication “Algorithmic Canonical Stratifications of Simplicial Complexes” proposes a new algorithm for data analysis that offers a topology-aware path towards explainable artificial intelligence. Despite (or, perhaps, due to) ...

This publication demonstrates the process of optimizing an object detection inference workload on an Intel® Xeon® Scalable processor using TensorFlow. This project pursues two objectives: Achieve object detection with real-time throughput ...

This paper provides quantitative guidelines and performance estimates for choosing a processor among the Platinum and Gold groups of the Intel Xeon Scalable family (formerly Skylake). The performance estimates are ...

This paper reviews the Intel® Advanced Vector Extensions 512 (Intel® AVX-512) instruction set and answers two critical questions: How do Intel® Xeon® Scalable processors based on the Skylake architecture (2017) compare ...