Technology scaling along with the ever evolving demand for media-rich software stacks
have motivated the need for many-core platforms. With the increase in compute power and …

Emerging multicore platforms are increasingly deploying distributed scratchpad memories to
achieve lower energy and area together with higher predictability; but this requires …

Distributed Scratchpad Memories (SPMs) in embedded many-core systems require careful
selection of data placement to achieve good performance. Applications mapped to these …

The alignment of code in the flash memory of deeply embedded SoCs can have a large
impact on the total energy consumption of a computation. We investigate the effect of code …

Traditional approaches for managing software-programmable memories (SPMs) do not
support sharing of distributed on-chip memory resources and, consequently, miss the …

Software Programmable Memories, or SPMs, are raw on‐chip memories that are not
implicitly managed by the processor hardware, but explicitly by software. For example, while …

The era of cloud computing on-a-chip is enabled by the aggressive move towards many-
core platforms and the rapid adoption of Network-on-Chips. As a result, there is a need for …

Deeply embedded systems often have the tightest constraints on energy consumption,
requiring that they consume tiny amounts of current and run on batteries for years. However …

For advanced features of next generation vehicles, the real-time programs in automotive
embedded systems are dramatically increasing. For such large volume program codes, this …

The growing computing demands of emerging application domains such as
Recognition/Mining/Synthesis (RMS), visual computing, wearable devices and the Internet …