Personal option: the issues of having cache dose not only result in storage overhead, but also introduce unpredictability e.g. in terms of performance. This is particularly true for the systems with real-time requirements. As programmers do not have to take care of data movement, maybe, another option to make progress on compiler development to manage data movement on scratchpad memory.
There are many engineering obstacles when scaling to advanced processor nodes that must be surmounted, and every one counts. This one had had many designers worrying direct-write shared memroy caches would have to be replaced with scratchpad or message passing schemes. Luckily, SRC has shed some light on this issue, hopefully keeping designers from fixing a architectureal feature that is not going to break all the way out to 512 cores per processor chip.
What are the engineering and design challenges in creating successful IoT devices? These devices are usually small, resource-constrained electronics designed to sense, collect, send, and/or interpret data. Some of the devices need to be smart enough to act upon data in real time, 24/7. Are the design challenges the same as with embedded systems, but with a little developer- and IT-skills added in? What do engineers need to know? Rick Merritt talks with two experts about the tools and best options for designing IoT devices in 2016. Specifically the guests will discuss sensors, security, and lessons from IoT deployments.