אירועים והרצאות בפקולטה למדעי המחשב ע"ש הנרי ומרילין טאוב

At a time when Moore’s Law is reaching its end, the volume of data created, curated, and consumed worldwide grows exponentially. As a result, general-purpose processors are struggling to keep up with the throughput demand of big data analytics workloads. In this talk I will present Speedata and the Analytics Processing Unit (APU), the first hardware accelerator for big data analytics. Speedata’s APU accelerates existing software frameworks (e.g., Apache Spark, Apache Presto) and improves performance/cost by orders-of-magnitude while maintaining users’ existing code base. I will present how the APU’s programmable architecture supports high-bandwidth processing of complex analytics queries. And after the unavoidable technical part, I will try to share some of my insights on the crazy journey of starting a semiconductor company.