Memory optimization of dynamic binary translators for embedded systems

Memory Optimization of Dynamic Binary Translators for Embedded Platforms

Dynamic binary translators (DBTs) are becoming increasingly important because of their power and flexibility. DBT-based services are valuable for all types of platforms. However, the high memory demands of DBTs present an obstacle for embedded systems. Most research on DBT design has a performance focus, which often drives up the DBT memory demand. In this dissertation, we propose a memory-orie...

Dynamic Binary Translation for Embedded Systems with Scratchpad Memory

Memory Optimization Techniques for Embedded Systems

Embedded systems have become ubiquitous and as a result optimization of the design and performance of programs that run on these systems have continued to remain as significant challenges to the computer systems research community. This dissertation addresses several key problems in the optimization of programs for embedded systems which include digital signal processors as the core processor. ...

Compact Trace Trees in Dynamic Binary Translators

Trace Tree (TT) is a technique to collect program execution traces, which is commonly used in JIT environments. Its main features are the ability to perform loop unrolling and function inlining at no cost, while detecting application loop kernels. In this paper we evaluate a TT implementation in a DBT environment. We show that, under DBT, trace trees suffer from severe code duplication, conside...

Temperature-aware Dynamic Optimization of Embedded Systems

Due to embedded systems’ stringent design constraints, much prior work focused on optimizing energy consumption and/or performance. Since embedded systems typically have fewer cooling options, rising temperature, and thus temperature optimization, is an emergent concern. Most embedded systems only dissipate heat by passive convection, due to the absence of dedicated thermal management hardware ...