Author's Latest Posts


Pushing Performance: Analysis and Optimization of Multicore Communication with SLX


In theory, multicore programming should be simple: Tasks are placed on available cores and allocated a data buffer in the shared memory to communicate data between two tasks. However, the amount of communication resources in the latest multicore SoC is very limited. One cannot deal with all the data communications required by all the tasks without being able to understand communication conte... » read more

SLX Multi-Objective Optimization (MOPT)


Technologies such as autonomous cars and 5G communication are seeing a rapid increase in the number of processing elements (PE) per platform. Where software professionals were used to programming one, two or a handful of cores, the game has now changed. Intel’s Many Integrated Core Architecture [3] contains up to 78 cores, Nvidia Tegra XI[2] has up to 260 cores and Adapteva’s Epiphany-V[1] ... » read more

Multicore Software Design For An LTE Base Station


This paper presents a typical base station design scenario, where decisions about HW/SW partitioning, the number of processing elements, and operational system parameters, among other things, need to be made early on by system architects. SLX determines the impact of these various design decisions and parameter selections, while exploring different target architecture configurations and checks ... » read more

Optimizing Deep-Learning Inference For Embedded Devices


Deep artificial neural networks (ANNs) have emerged as universal feature extractors in various tasks as they approach (and in many cases surpass) human-level performance. They have become fundamental building blocks of almost every modern artificially intelligent (AI) application, from online shop recommendations to self-driving cars. This whitepaper highlights how different challenges relat... » read more