Memory aware compilation through accurate timing extraction

Grun, Peter; Dutt, Nikil; Nicolau, Alex

doi:10.1145/337292.337428

Cited by 45 publications

(32 citation statements)

References 15 publications

(12 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The memory netlist information can be used to generate memory aware compilers and simulators. Memory aware compilers can exploit the detailed information to hide the latency of the lengthy memory operations [29].…”

Section: Expressionmentioning

confidence: 99%

Processor Description Languages

Mishra¹,

Dutt²

2008

View full text Add to dashboard Cite

Embedded systems present a tremendous opportunity to customise designs by exploiting the application behaviour. Shrinking time-to-market, coupled with short product lifetimes, create a critical need for rapid exploration and evaluation of candidate architectures. Architecture description languages (ADL) enable exploration of programmable architectures for a given set of application programs under various design constraints such as area, power and performance. The ADL is used to specify programmable embedded systems, including processor, coprocessor and memory architectures. The ADL specification is used to generate a variety of software tools and models facilitating exploration and validation of candidate architectures. The paper surveys the existing ADLs in terms of (a) the inherent features of the languages and (b) the methodologies they support to enable simulation, compilation, synthesis, test generation and validation of programmable embedded systems. It concludes with a discussion of the relative merits and demerits of the existing ADLs and expected features of future ADLs.

show abstract

Section: Expressionmentioning

confidence: 99%

Processor Description Languages

Mishra¹,

Dutt²

2008

View full text Add to dashboard Cite

show abstract

“…As a result, their scheduler can hide the access latency to the SDRAMs. The work was started in the context of system synthesis, but later on extended to VLIW compilers [41]. Finally, [9] combines the scheduling technique of [47] with the memory energy model of [61] for reducing the static SDRAM energy.…”

Section: Memory Access Reordering Techniquesmentioning

confidence: 99%

Power-efficient data management for dynamic applications

Marchal

Perez

Atienza

et al. 2006

System-on-Chip: Next Generation Electronics

View full text Add to dashboard Cite

In recent years, the semiconductor industry has turned its focus towards heterogeneous multi-processor platforms. They are an economically viable solution for coping with the growing setup and manufacturing cost of silicon systems. Furthermore, their inherent flexibility also perfectly supports the emerging market of interactive, mobile data and content services. The platform's performance and energy depend largely on how well the data-dominated services are mapped on the memory subsystem. A crucial aspect thereby is how efficient data is transferred between the different memory layers. Several compilation techniques have been developed to optimally use the available bandwidth. Unfortunately, they do not take the interaction between multiple threads running on the different processors into account, only locally optimize the bandwidth nor deal with the dynamic behavior of these applications. The contributions of this chapter are to outline the main limitations of current techniques and to introduce an approach for dealing with the dynamic multi-threaded of our application domain. The design challenges of media-rich servicesBusiness analysts forecast a 250 billion dollar market for media-rich, mobile wireless terminals [53]. These systems require an enormous computational performance (40GOPS 1 ). Even though current PCs offer this performance requirement, they consume too much power (10-100W). Mobile devices should consume at least two or three orders of magnitude less power [30]. Furthermore, they should be cheap to successfully penetrate the consumer market. Consequently and in spite of the design issues, the engineering and manufacturing costs need to be reduced. Industry strongly believes that platforms are a potential way to meet the above challenges. The era of platform-based designA platform is a fixed micro-architecture together with a programming environment that minimizes mask-making costs and is flexible enough to work for a set of applications [4]. The production volumes can then remain high over an extended chip lifetime.Given the strong energy constraints, we must choose the flavor of these platforms. Since power is cubic to the processing frequency, parallelism is an effective to reduce power and energy consumption. Then, multiple simple processors are preferred to one complex speculative and out-of-order processor. In the right application domain, we can get better performance and spend less energy. Besides parallelism, heterogeneity is an alternative way to decrease the energy cost. For instance, the TI OMAP platform combines a RISC processor with a Digital Signal Processor (DSP). The RISC is more energy-efficient for the input/output processing and simple control-dominated 1 Giga Operations Per Second

show abstract

“…As a result, their scheduler hides the access latency to the SDRAMs. The work was started in the context of system synthesis, but extended to VLIW compilers [28,29]. Finally, [30] combines the scheduling technique of [27] with the memory energy model of [31] for reducing the static SDRAM energy.…”

Section: Memory Access Reordering Techniquesmentioning

confidence: 99%

Power aware data and memory management for dynamic applications

Marchal

Perez

Atienza

et al. 2005

IEE Proc., Comput. Digit. Tech.

View full text Add to dashboard Cite

In recent years, the semiconductor industry has turned its focus towards heterogeneous multiprocessor platforms. They are an economically viable solution for coping with the growing setup and manufacturing cost of silicon systems. Furthermore, their inherent flexibility perfectly supports the emerging market of interactive, mobile data and content services. The platform's performance and energy depend largely on how well the data-dominated services are mapped on the memory subsystem. A crucial aspect thereby is how efficient data is transferred between the different memory layers. Several compilation techniques have been developed to optimally use the available bandwidth. Unfortunately, they do not take the interaction between multiple threads into account and do not deal with the dynamic behaviour of these novel applications. The main limitations of current techniques are outlined and an approach for dealing with them is introduced. Design challenges of media-rich servicesBusiness analysts forecast a 250 billion dollar market for media-rich, mobile wireless terminals [1]. These systems require an enormous computational performance: 40 gigaoperations per second (GOPS). Even though current PCs could provide sufficient performance, they are too powerhungry (10 -100 W). Mobile devices should consume at least two or three orders of magnitude less [2]. Furthermore, they should be cheap to successfully penetrate the consumer market. Consequently, and in spite of the design issues, the engineering and manufacturing costs need to be reduced. Industry strongly believes that platforms are a potential way to meet the above challenges. Era of platform-based designA platform is a fixed microarchitecture together with a programming environment that minimises mask-making costs and is flexible enough to work for a set of applications [3]. The production volumes can then remain high over an extended chip lifetime.To cope with the energy constraints, platforms usually consist of multiple processors. Since power is cubic to the processing frequency, parallelism is an effective way to reduce it. Therefore, on most platforms two or more processors are integrated. Besides parallelism, heterogeneity is an alternative way to decrease the energy cost. For instance, the TI OMAP platform combines a RISC processor with a digital signal processor (DSP). The RISC is more energy-efficient for the input=output processing and control-dominated applications. The DSP, however, provides the computational performance for audio and video processing, while keeping the energy cost bounded. Indeed, taking a look to the current market offers (e.g. ST Nomadik

show abstract

Memory aware compilation through accurate timing extraction

Cited by 45 publications

References 15 publications

Processor Description Languages

Processor Description Languages

Power-efficient data management for dynamic applications

Power aware data and memory management for dynamic applications

Contact Info

Product

Resources

About