Responsibility: Jingzhao Ou, Viktor K. The focus in High-Performance Computing increasingly turns to energy efficiency. We present experimental results for the synthesis of computa-tionally intensive portions of multimedia applications that demonstrate that the code transformations in Spark lead to up to 50-70 % improvements in circuit delay with fairly constant circuit area. However, more choices during application design results in a large design space that must be traversed efficiently. This paper considers a wireless network with beamforming capabilities at the receiver which allows two or more transmitters to share the same channel to communicate with the base station. This book explores the advantages of using reconfigurable hardware for application development and looks ahead to future research directions in the field.
We apply this design flow on several examples from the MediaBench benchmark suite and report the energy and performance improvements. Such system designs need more than what traditional design and verification techniques can provide. For the topdown process, we map an beamforming application onto hardware and software components based on the results from the bottom-up process. It provides a framework for high-level hardware-software application development and describes energy performance modeling for system-on-chip devices. This thesis presents high-level synthesis techniques that minimize power consumption in the synthesized data paths.
In this way, the area occupied by an embedded system can be decreased and free space may be used for other purposes. The dynamic programming algorithm identifies such a path in an iterative manner. The proposed design methodology is accomplished through the interactions between algorithm designers and end users. Re- configurable architectures offer several parameters such as operating frequency, precision, amount of memory, number of computation units, etc. We propose a method for mapping nodes of an application control flow graph either to software or reconfigurable hardware, explicitly targeting minimization of the energy-delay cost due to both computation and configuration. From the evaluation results, we found that the system meets its real-time requirements and achieves about 69% accuracy.
It consists of a bottom-up process which performs simulation based performance modeling, and a top-down process which performs analytical performance optimization. The implementation of an adap-tive beamforming application is used as an example to illustrate the design flow using this new tool. The output data should be light-weight enough few kilobytes to be sent through the network to the health care center in a secure manner. For example, considering the beamforming algorithm discussed in Section 6. High-level synthesis refers to the process of synthesizing, from an abstract behavioral description, a register-transfer implementation that satisfies the desired constraints. Energy efficient designs are realized through close interaction among these three design steps.
They then discuss an instruction-level energy estimation technique and a domain-specific modeling technique to provide rapid and fairly accurate energy estimation for hardware-software co-designs using reconfigurable hardware. The book integrates various high-level abstractions for describing hardware and software platforms into a single, consistent application development framework, enabling users to construct, simulate, and debug systems. We then discuss the power and energy profiles and investigate the effects of scaling with respect to hardware resources and simulation parameters. However, the energy-delay cost associated with reconfiguration must be accounted for during hardware-software partitioning. This shows that, by using smart antennas, each user can transmit with much lower power, and therefore the system capacity increases significantly We examine the energy and performance benefits that can be obtained by re-mapping frequently executed loops from a microprocessor to reconfigurable logic.
Unlike previous techniques, the presented techniques consider the effects of glitching activity at control and data path signals, and are well-suited to control flow intensive as well as data flow intensive designs. Books by Viktor K Prasanna with Solutions Book Name Author s 0 Problems solved , , , , 0 Problems solved , 0 Problems solved , , , , 0 Problems solved , 0 Problems solved , , 0 Problems solved , , , , 0 Problems solved , , , , , 0 Problems solved , , , , 0 Problems solved , , 0 Problems solved , , , , 0 Problems solved , , , 0 Problems solved , , , , 0 Problems solved , , , , ,. We present a simple model for specifying and optimising designs which contain elements that can be reconfigured at run-time. It consists of a bottom-up process which performs simulation based performance modeling, and a top-down process which performs analytical performance optimization. The algorithm is a constructive algorithm, which obtains an initial solution and afterwards tries to optimize it. Experimental results are given to show that up to 51% energy reduction can be achieved using our design approach. The E-mail message field is required.
Both the design methodologies can be used to achieve not only energy-efficiency but also latency, area, and power efficiency. First, we create a trellis. The results obtained demonstrate the benefits of the algorithm This paper introduces an allocation and scheduling algorithm that efficiently handles conditional execution in multi-rate embedded system. The book integrates various high-level abstractions for describing hardware and software platforms into a single, consistent application development framework, enabling users to construct, simulate, and debug systems. We demon- strate our modeling methodology by applying it to two do- mains. These parameters define a large design space that must be explored to find energy efficient solutions. The text concludes with example designs and illustrative examples that show how the proposed co-synthesis techniques lead to a significant amount of energy reduction.
The collection, processing, and visualization of such biomedical data in real-time is a challenging task due to the large amounts of data that need to be processed, especially when the records are made for a long time. The necessity of optimizing simulation software with respect to power and energy draft demands for detailed profiling of the power consumption during the calculations and a norm quantifying the respective efficiency. If there are no constraints, as in the case of the energy-delay product minimization, we are able to generate an optimal solution in polynomial time. The model can be used for encoding layout information and for assessing tradeoffs in circuit speed, design size, reconfiguration time, complexity of reconfiguration controller and so on. Our designs showed a factor of 10 improvement over the embedded processor. As a result, detection of irregularities in the rhythms of the heart is a growing concern in medical researches. The authors also present a dynamic programming-based algorithm to optimize the energy performance of an application running on a reconfigurable hardware platform.
We propose a mutual exclusion detection algorithm that helps the scheduling algorithm to exploit the resource sharing. A system-wide energy function is derived based on the power functions and cycle specific power state of each building block of the architecture. Our interface synthesis ap-proach is based on a novel memory mapping algorithm that uses scheduling information from the high-level synthesis tool to map data used by both the hardware and the soft-ware to shared memories on the reconfigurable fabric. For hardware synthesis, we use a parallelizing high-level synthesis approach that em-ploys aggressive coarse-grain and fine-grain code paral-lelizing and code motion techniques to discover circuit op-timization opportunities beyond what is possible with tra-ditional high-level synthesis. We propose a hardware-software codesign and coverification methodology for dynamically reconfigurable SoC. Energy reduction up to 46 % is observed for the beamforming application using the proposed design approach.