اشترك بالحزمة الذهبية واحصل على وصول غير محدود شمرا أكاديميا
تسجيل مستخدم جديدCo-Emulation of Scan-Chain Based Designs Utilizing SCE-MI Infrastructure
83
0
0.0
(
0
)
اسأل ChatGPT حول البحث
ﻻ يوجد ملخص باللغة العربية
As the complexity of the scan algorithm is dependent on the number of design registers, large SoC scan designs can no longer be verified in RTL simulation unless partitioned into smaller sub-blocks. This paper proposes a methodology to decrease scan-chain verification time utilizing SCE-MI, a widely used communication protocol for emulation, and an FPGA-based emulation platform. A high-level (SystemC) testbench and FPGA synthesizable hardware transactor models are developed for the scan-chain ISCAS89 S400 benchmark circuit for high-speed communication between the host CPU workstation and the FPGA emulator. The emulation results are compared to other verification methodologies (RTL Simulation, Simulation Acceleration, and Transaction-based emulation), and found to be 82% faster than regular RTL simulation. In addition, the emulation runs in the MHz speed range, allowing the incorporation of software applications, drivers, and operating systems, as opposed to the Hz range in RTL simulation or sub-megahertz range as accomplished in transaction-based emulation. In addition, the integration of scan testing and acceleration/emulation platforms allows more complex DFT methods to be developed and tested on a large scale system, decreasing the time to market for products.
قيم البحث
اقرأ أيضاً
We propose that designing a manufacturers equipment-based service value proposition in outcome-based contracts is the design of a new business model capable of managing threats to the firms viability that can arise from the contextual variety of use
that customers may subject the firms value propositions. Furthermore, manufacturers need to understand these emerging business models as the capability of managing both asset and service provision to achieve use outcomes with customers, including emotional outcomes such as customer experience. Service-Dominant Logic proposes that all goods are a distribution mechanism for service provision, upon which we propose a value-centric approach to understanding the interactions between the asset and service provision, and suggest a viable systems approach towards reorganising the firm to achieve such a business model. Three case studies of B2B equipment-based service systems were analysed to understand customers co-creation activities in achieving outcomes, in which we found that the co-creation of complex multi-dimensional value could be delivered through the different value propositions of the firm catering to different aspects (dimensions) of the value to be co-created. The study provides a way for managers to understand the effectiveness (rather than efficiency) of firms in adopting emerging business models that design for value co-creation in what are ultimately complex socio- technical systems.
The integration of renewable sources, communication and power networks with information and communication technologies is one of the main challenges in Smart Grids (SG) large-scale testing. For this reason, the coupling of simulators is commonly used
to dynamically simulate several aspects of the SG infrastructure, in the so-called co-simulations. In this paper, we provide a scoping review of research of co-simulations in the context of Smart Grids: i) research areas and research problems addressed by co-simulations, ii) specific co-simulation aspects focus of research, iii) typical coupling of simulators in co-simulation studies. Based on the results, we discuss research directions of future SG co-simulation research in each of the identified areas.
Hybrid memory systems, comprised of emerging non-volatile memory (NVM) and DRAM, have been proposed to address the growing memory demand of applications. Emerging NVM technologies, such as phase-change memories (PCM), memristor, and 3D XPoint, have h
igher capacity density, minimal static power consumption and lower cost per GB. However, NVM has longer access latency and limited write endurance as opposed to DRAM. The different characteristics of two memory classes point towards the design of hybrid memory systems containing multiple classes of main memory. In the iterative and incremental development of new architectures, the timeliness of simulation completion is critical to project progression. Hence, a highly efficient simulation method is needed to evaluate the performance of different hybrid memory system designs. Design exploration for hybrid memory systems is challenging, because it requires emulation of the full system stack, including the OS, memory controller, and interconnect. Moreover, benchmark applications for memory performance test typically have much larger working sets, thus taking even longer simulation warm-up period. In this paper, we propose a FPGA-based hybrid memory system emulation platform. We target at the mobile computing system, which is sensitive to energy consumption and is likely to adopt NVM for its power efficiency. Here, because the focus of our platform is on the design of the hybrid memory system, we leverage the on-board hard IP ARM processors to both improve simulation performance while improving accuracy of the results. Thus, users can implement their data placement/migration policies with the FPGA logic elements and evaluate new designs quickly and effectively. Results show that our emulation platform provides a speedup of 9280x in simulation time compared to the software counterpart Gem5.
In this paper, we provide detailed analysis of the achievable throughput of infrastructure-based vehicular network with a finite traffic density under a cooperative communication strategy, which explores combined use of vehicle-to-infrastructure (V2I
) communications, vehicle-to-vehicle (V2V) communications, mobility of vehicles and cooperations among vehicles and infrastructure to facilitate the data transmission. A closed form expression of the achievable throughput is obtained, which reveals the relationship between the achievable throughput and its major performance-impacting parameters such as distance between adjacent infrastructure points, radio ranges of infrastructure and vehicles, transmission rates of V2I and V2V communications and vehicular density. Numerical and simulation results show that the proposed cooperative communication strategy significantly increases the throughput of vehicular networks, compared with its non-cooperative counterpart, even when the traffic density is low. Our results shed insight on the optimum deployment of vehicular network infrastructure and optimum design of cooperative communication strategies in vehicular networks to maximize the throughput.
In this paper, we propose a machine-learning assisted modeling framework in design-technology co-optimization (DTCO) flow. Neural network (NN) based surrogate model is used as an alternative of compact model of new devices without prior knowledge of
device physics to predict device and circuit electrical characteristics. This modeling framework is demonstrated and verified in FinFET with high predicted accuracy in device and circuit level. Details about the data handling and prediction results are discussed. Moreover, same framework is applied to new mechanism device tunnel FET (TFET) to predict device and circuit characteristics. This work provides new modeling method for DTCO flow.
سجل دخول لتتمكن من نشر تعليقات
التعليقات
جاري جلب التعليقات
سجل دخول لتتمكن من متابعة معايير البحث التي قمت باختيارها
