Silexica, a start-up based in Köln, Germany, announced $8 million in Series A funding for its multicore software design automation addressing complex, multicore platforms.
Silexica’s SLX Mapper and SLX Generator tools deliver fully automated mapping of software tasks and processes onto multicore platforms, optimized for throughput, latency, or power. They leverage native programming toolchains via a source-to-source translation approach to automatically generate architecture aware and middleware-specific C codes. The company’s SLX Explorer tool guides the selection of the best target hardware by providing insights into software performance/power prediction of the target application. Its SLX Parallelizer tool helps customers migrate legacy C, C++ applications into the multicore world giving deep insights into parallelization possibilities based on the target platform. The company said companies like Huawei and Fujitsu are already using the solution.
The funding was led by Merus Capital with participation from new investor Paua Ventures as well as current investors Seed Fonds Aachen and DSA Invest.
“It’s clear that as Dennard’s Scaling Law breaks down, the computing industry must embrace heterogeneous and specialized multicore designs. To fully exploit this change requires a wholesale shift to concurrent software development and design automation. Silexica’s unique technology enables software and hardware designers and developers to maximize utilization, optimize for various design goals and to deal with issues of ‘dark silicon’ and other upcoming challenges of the multicore era,” said Salman Ullah, Managing Director of Merus Capital, a leading Silicon Valley venture fund focused on early stage enterprise companies. He added that, “Silexica is a perfect reflection of Merus Capital’s strategy, investing in real software solving real problems.”
