Memory space limitation is a serious problem for many embedded systems from diverse application do-mains. While circuit/packaging techniques are definitely im-portant to squeeze large quantities of data / instruction into small size memories typically employed by embed-ded systems, software can also play a crucial role in re-ducing memory space demands of embedded applications. This paper focuses on a software-managed two-level mem-ory hierarchy and instruction accesses. Our goal is to reduce on-chip memory requirements of a given applica-tion as much as possible, so that the memory space saved can be used by other simultaneously-executing applica-tions. The proposed approach achieves this by tracking the lifetime of instructions. Specifica...
The memory subsystem has traditionally been a major bottleneck in the design of high performance pro...
Memory management is a critical issue for correctness and performance in real-time embedded systems....
Many popular systems for processing “big data ” are im-plemented in high-level programming languages...
Cataloged from PDF version of article.Memory is a key parameter in embedded systems since both code ...
Memory is a key parameter in embedded systems since both code complexity of embedded applications an...
Real-world garbage collectors in managed languages are complex. We investigate whether this complexi...
Fueled by an unprecedented desire for convenience and self-service, consumers are embracing embedded...
Embedded systems are ubiquitous. They are often driven by batteries; therefore, low power consumptio...
tions expressed in this material are those of the authors and do not necessarily reflect the views o...
Abstract — On chip memories provide fast and energy efficient storage for code and data in compariso...
Abstract. Automatic memory management techniques eliminate many programming errors that are both har...
The power of dynamic memory management can be used to produce more flexible control applications wit...
This article presents a methodology for automatic memory hierarchy generation that exploits memory a...
Abstract — In many computer systems, a large portion of the execution time and energy consumption is...
Limited Local Memory (LLM) architectures are popular scalable memory multi-core architectures in whi...
The memory subsystem has traditionally been a major bottleneck in the design of high performance pro...
Memory management is a critical issue for correctness and performance in real-time embedded systems....
Many popular systems for processing “big data ” are im-plemented in high-level programming languages...
Cataloged from PDF version of article.Memory is a key parameter in embedded systems since both code ...
Memory is a key parameter in embedded systems since both code complexity of embedded applications an...
Real-world garbage collectors in managed languages are complex. We investigate whether this complexi...
Fueled by an unprecedented desire for convenience and self-service, consumers are embracing embedded...
Embedded systems are ubiquitous. They are often driven by batteries; therefore, low power consumptio...
tions expressed in this material are those of the authors and do not necessarily reflect the views o...
Abstract — On chip memories provide fast and energy efficient storage for code and data in compariso...
Abstract. Automatic memory management techniques eliminate many programming errors that are both har...
The power of dynamic memory management can be used to produce more flexible control applications wit...
This article presents a methodology for automatic memory hierarchy generation that exploits memory a...
Abstract — In many computer systems, a large portion of the execution time and energy consumption is...
Limited Local Memory (LLM) architectures are popular scalable memory multi-core architectures in whi...
The memory subsystem has traditionally been a major bottleneck in the design of high performance pro...
Memory management is a critical issue for correctness and performance in real-time embedded systems....
Many popular systems for processing “big data ” are im-plemented in high-level programming languages...