1,859 research outputs found
Cycle-accurate evaluation of reconfigurable photonic networks-on-chip
There is little doubt that the most important limiting factors of the performance of next-generation Chip Multiprocessors (CMPs) will be the power efficiency and the available communication speed between cores. Photonic Networks-on-Chip (NoCs) have been suggested as a viable route to relieve the off- and on-chip interconnection bottleneck. Low-loss integrated optical waveguides can transport very high-speed data signals over longer distances as compared to on-chip electrical signaling. In addition, with the development of silicon microrings, photonic switches can be integrated to route signals in a data-transparent way. Although several photonic NoC proposals exist, their use is often limited to the communication of large data messages due to a relatively long set-up time of the photonic channels. In this work, we evaluate a reconfigurable photonic NoC in which the topology is adapted automatically (on a microsecond scale) to the evolving traffic situation by use of silicon microrings. To evaluate this system's performance, the proposed architecture has been implemented in a detailed full-system cycle-accurate simulator which is capable of generating realistic workloads and traffic patterns. In addition, a model was developed to estimate the power consumption of the full interconnection network which was compared with other photonic and electrical NoC solutions. We find that our proposed network architecture significantly lowers the average memory access latency (35% reduction) while only generating a modest increase in power consumption (20%), compared to a conventional concentrated mesh electrical signaling approach. When comparing our solution to high-speed circuit-switched photonic NoCs, long photonic channel set-up times can be tolerated which makes our approach directly applicable to current shared-memory CMPs
Speculative Thread Framework for Transient Management and Bumpless Transfer in Reconfigurable Digital Filters
There are many methods developed to mitigate transients induced when abruptly
changing dynamic algorithms such as those found in digital filters or
controllers. These "bumpless transfer" methods have a computational burden to
them and take time to implement, causing a delay in the desired switching time.
This paper develops a method that automatically reconfigures the computational
resources in order to implement a transient management method without any delay
in switching times. The method spawns a speculative thread when it predicts if
a switch in algorithms is imminent so that the calculations are done prior to
the switch being made. The software framework is described and experimental
results are shown for a switching between filters in a filter bank.Comment: 6 pages, 7 figures, to be presented at American Controls Conference
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A Survey of Techniques For Improving Energy Efficiency in Embedded Computing Systems
Recent technological advances have greatly improved the performance and
features of embedded systems. With the number of just mobile devices now
reaching nearly equal to the population of earth, embedded systems have truly
become ubiquitous. These trends, however, have also made the task of managing
their power consumption extremely challenging. In recent years, several
techniques have been proposed to address this issue. In this paper, we survey
the techniques for managing power consumption of embedded systems. We discuss
the need of power management and provide a classification of the techniques on
several important parameters to highlight their similarities and differences.
This paper is intended to help the researchers and application-developers in
gaining insights into the working of power management techniques and designing
even more efficient high-performance embedded systems of tomorrow
Translating Timing into an Architecture: The Synergy of COTSon and HLS (Domain Expertise: Designing a Computer Architecture via HLS)
Translating a system requirement into a low-level representation (e.g., register transfer level or RTL) is the typical goal of the design of FPGA-based systems. However, the Design Space Exploration (DSE) needed to identify the final architecture may be time consuming, even when using high-level synthesis (HLS) tools. In this article, we illustrate our hybrid methodology, which uses a frontend for HLS so that the DSE is performed more rapidly by using a higher level abstraction, but without losing accuracy, thanks to the HP-Labs COTSon simulation infrastructure in combination with our DSE tools (MYDSE tools). In particular, this proposed methodology proved useful to achieve an appropriate design of a whole system in a shorter time than trying to design everything directly in HLS. Our motivating problem was to deploy a novel execution model called data-flow threads (DF-Threads) running on yet-to-be-designed hardware. For that goal, directly using the HLS was too premature in the design cycle. Therefore, a key point of our methodology consists in defining the first prototype in our simulation framework and gradually migrating the design into the Xilinx HLS after validating the key performance metrics of our novel system in the simulator. To explain this workflow, we first use a simple driving example consisting in the modelling of a two-way associative cache. Then, we explain how we generalized this methodology and describe the types of results that we were able to analyze in the AXIOM project, which helped us reduce the development time from months/weeks to days/hours
A TrustZone-assisted secure silicon on a co-design framework
Dissertação de mestrado em Engenharia Eletrónica Industrial e ComputadoresEmbedded systems were for a long time, single-purpose and closed systems, characterized
by hardware resource constraints and real-time requirements. Nowadays, their functionality is
ever-growing, coupled with an increasing complexity and heterogeneity. Embedded applications
increasingly demand employment of general-purpose operating systems (GPOSs) to handle operator
interfaces and general-purpose computing tasks, while simultaneously ensuring the strict
timing requirements. Virtualization, which enables multiple operating systems (OSs) to run on
top of the same hardware platform, is gaining momentum in the embedded systems arena,
driven by the growing interest in consolidating and isolating multiple and heterogeneous environments.
The penalties incurred by classic virtualization approaches is pushing research towards
hardware-assisted solutions. Among the existing commercial off-the-shelf (COTS) technologies for
virtualization, ARM TrustZone technology is gaining momentum due to the supremacy and lower
cost of TrustZone-enabled processors.
Programmable system-on-chips (SoCs) are becoming leading players in the embedded systems
space, because the combination of a plethora of hard resources with programmable logic
enables the efficient implementation of systems that perfectly fit the heterogeneous nature of
embedded applications. Moreover, novel disruptive approaches make use of field-programmable
gate array (FPGA) technology to enhance virtualization mechanisms.
This master’s thesis proposes a hardware-software co-design framework for easing the economy
of addressing the new generation of embedded systems requirements. ARM TrustZone is
exploited to implement the root-of-trust of a virtualization-based architecture that allows the execution
of a GPOS side-by-side with a real-time OS (RTOS). RTOS services were offloaded to hardware,
so that it could present simultaneous improvements on performance and determinism. Instead
of focusing in a concrete application, the goal is to provide a complete framework, specifically tailored
for Zynq-base devices, that developers can use to accelerate a bunch of distinct applications
across different embedded industries.Os sistemas embebidos foram, durante muitos anos, sistemas com um simples e único
propósito, caracterizados por recursos de hardware limitados e com cariz de tempo real. Hoje
em dia, o número de funcionalidades começa a escalar, assim como o grau de complexidade
e heterogeneidade. As aplicações embebidas exigem cada vez mais o uso de sistemas operativos
(OSs) de uso geral (GPOS) para lidar com interfaces gráficas e tarefas de computação de
propósito geral. Porém, os seus requisitos primordiais de tempo real mantém-se. A virtualização
permite que vários sistemas operativos sejam executados na mesma plataforma de hardware.
Impulsionada pelo crescente interesse em consolidar e isolar ambientes múltiplos e heterogéneos,
a virtualização tem ganho uma crescente relevância no domínio dos sistemas embebidos.
As adversidades que advém das abordagens de virtualização clássicas estão a direcionar estudos
no âmbito de soluções assistidas por hardware. Entre as tecnologias comerciais existentes, a
tecnologia ARM TrustZone está a ganhar muita relevância devido à supremacia e ao menor custo
dos processadores que suportam esta tecnologia.
Plataformas hibridas, que combinam processadores com lógica programável, estão em crescente
penetração no domínio dos sistemas embebidos pois, disponibilizam um enorme conjunto
de recursos que se adequam perfeitamente à natureza heterogénea dos sistemas atuais. Além
disso, existem soluções recentes que fazem uso da tecnologia de FPGA para melhorar os mecanismos
de virtualização.
Esta dissertação propõe uma framework baseada em hardware-software de modo a cumprir
os requisitos da nova geração de sistemas embebidos. A tecnologia TrustZone é explorada para
implementar uma arquitetura que permite a execução de um GPOS lado-a-lado com um sistemas
operativo de tempo real (RTOS). Os serviços disponibilizados pelo RTOS são migrados
para hardware, para melhorar o desempenho e determinismo do OS. Em vez de focar numa
aplicação concreta, o objetivo é fornecer uma framework especificamente adaptada para dispositivos
baseados em System-on-chips Zynq, de forma a que developers possam usar para acelerar
um vasto número de aplicações distintas em diferentes setores
Custom architecture for multicore audio Beamforming systems
The audio Beamforming (BF) technique utilizes microphone arrays to extract acoustic sources recorded in a noisy environment. In this article, we propose a new approach for rapid development of multicore BF systems. Research on literature reveals that the majority of such experimental and commercial audio systems are based on desktop PCs, due to their high-level programming support and potential of rapid system development. However, these approaches introduce performance bottlenecks, excessive power consumption, and increased overall cost. Systems based on DSPs require very low power, but their performance is still limited. Custom hardware solutions alleviate the aforementioned drawbacks, however, designers primarily focus on performance optimization without providing a high-level interface for system control and test. In order to address the aforementioned problems, we propose a custom platform-independent architecture for reconfigurable audio BF systems. To evaluate our proposal, we implement our architecture as a heterogeneous multicore reconfigurable processor and map it onto FPGAs. Our approach combines the software flexibility of General-Purpose Processors (GPPs) with the computational power of multicore platforms. In order to evaluate our system we compare it against a BF software application implemented to a low-power Atom 330, amiddle-ranged Core2 Duo, and a high-end Core i3. Experimental results suggest that our proposed solution can extract up to 16 audio sources in real time under a 16-microphone setup. In contrast, under the same setup, the Atom 330 cannot extract any audio sources in real time, while the Core2 Duo and the Core i3 can process in real time only up to 4 and 6 sources respectively. Furthermore, a Virtex4-based BF system consumes more than an order less energy compared to the aforementioned GPP-based approaches. © 2013 ACM
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