TTEC: Data Allocation Optimization for Morphable Scratchpad Memory in Embedded Systems

NBTI-Aware Data Allocation Strategies for Scratchpad Based Embedded Systems

While performance and power continue to be important metrics for embedded systems, as CMOS technologies continue to shrink, new metrics such as variability and reliability have emerged as limiting factors in the design of modern embedded systems. In particular, the reliability impact of pMOS negative bias temperature instability (NBTI) has become a serious concern. Recent works have shown how c...

Efficient Scratchpad Allocation Algorithms for Energy Constrained Embedded Systems

In the context of portable embedded systems, reducing energy is one of the prime objectives. Memories are responsible for a significant percentage of a system’s aggregate energy consumption. Consequently, novel memories as well as novel memory hierarchies are being designed to reduce the energy consumption. Caches and scratchpads are two contrasting variants of memory architectures. The former ...

Dynamic Binary Translation for Embedded Systems with Scratchpad Memory

Using Scratchpad Memory for Stack Data in Hard Real-Time Embedded Systems

This paper proposes a scratchpad memory allocation technique for stack data to achieve predictability for hard real-time embedded systems. First, we suggest a profiling-based source code modification technique to make the whole stack area fit in the given scratchpad memory size. Furthermore, even though the whole stack area cannot fit in the scratchpad memory size, we propose another scratchpad...

Heap Data Allocation to Scratch-Pad Memory in Embedded Systems

Title of dissertation: HEAP DATA ALLOCATION TO SCRATCH-PAD MEMORY IN EMBEDDED SYSTEMS Angel Dominguez Doctor of Philosophy, 2007 Dissertation directed by: Professor Rajeev K. Barua Department of Electrical and Computer Engineering This thesis presents the first-ever compile-time method for allocating a portion of a program’s dynamic data to scratch-pad memory. A scratch-pad is a fast directly a...