System Bits: June 12


Writing complex ML/DL analytics algorithms Rice University researchers in the DARPA-funded Pliny Project believe they have the answer for every stressed-out systems programmer who has struggled to implement complex objects and workflows on ‘big data’ platforms like Spark and thought: “Isn’t there a better way?” Their answer: Yes with PlinyCompute, which the team describes as “a sys... » read more

Shifting Performance Bottlenecks Driving Change In Chip And System Architectures


The rise of personal computing in the 1980s — along with graphical user interfaces (GUIs) and applications ranging from office apps to databases — drove the demand for faster chips capable of removing processing bottlenecks and delivering a more responsive end-user experience. Indeed, the semiconductor industry has certainly come quite a long way since IBM launched its PC way back in 1981. ... » read more

Cloud 2.0


Corporate data centers are reluctant adopters of new technology. There is too much at stake to make quick changes, which accounts for a number of failed semiconductor startups over the past decade with better ideas for more efficient processors, not to mention rapid consolidation in other areas. But as the amount of data increases, and the cost of processing that data decreases at a slower rate... » read more