Chapter 17, Multicore Software Development for DSP


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Kundrecensioner

IEEE Trans. Parallel Distrib. Lengauer, C. Leupers, R. ACM Li, L. Ma, Z. Martin, G.

T-5 - IEEE ICECS

Muchnick, S. National Instruments: LabView.


  1. DSP for Embedded and Real-Time Systems.
  2. Migration in Contemporary Hispanic Cinema?
  3. Control.
  4. Software Compilation Techniques for Heterogeneous Embedded Multi-Core Systems.
  5. Ottawa - Ten Places to Visit?

Nikolov, H. Palsberg, J. Chapter ILP-based Resource-aware Compilation, pp. Paolucci, P. Parks, T. Pelcat, M. Polychronopoulos, C. Rabenseifner, R. Sharma, G. International Journal of Parallel Programming 37 1 Sporer, T. In: Proc.

DSP for Embedded and Real-Time Systems

Audio Engineering Society, Hillerod, Denmark Sriram, S. Marcel Dekker, Inc. Shell and utilities. IEEE Std Stone, J. IEEE Des. Test 12 3 , 66—73 Stotzer, E.

Multicore Software Development Kit (MCSDK)

Synopsys: Virtual Platforms. Texas Instruments: Keystone Multicore Devices. Theelen, B. Tournavitis, G. Dublin, Ireland Vargas, R. Verdoolaege, S. Embedded Syst. One of the most important considerations in the product life-cycle of an embedded project is to understand and optimize the power consumption of the device. Other main embedded applications, such as medical equipment, test, measurement, media, and wireless base stations, are very sensitive to power as well — due to the need to manage the heat dissipation of increasingly powerful processors, power supply cost, and energy consumption cost — so the fact is that power consumption cannot be overlooked.

The responsibility for setting and keeping power requirements often falls on the shoulders of hardware designers, but the software programmer has the ability to provide a large contribution to power optimization. Often, the impact that the software engineer has on the power consumption of a device is overlooked or underestimated. The goal of this chapter is to discuss how software can be used to optimize power consumption, starting with the basics of what power consumption consists of, how to properly measure power consumption, and then moving on to techniques for minimizing power consumption in software at the algorithmic level, hardware level, and data-flow level.

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This will include demonstrations of the various techniques and explanations of both how and why certain methods are effective at reducing power so the reader can take and apply this work to their application immediately. Optimizing Embedded Software for Performance. Code optimization is a critical step in the development process as it directly impacts the ability of the system to do its intended job. Code that executes faster means more channels, more work performed and competitive advantage.

Code that executes in less memory enables more application features to fit into the cell phone.

Multicore DSP

Code that executes with less overall power consumption increases battery life or reduces money spent on powering a base station. This chapter is intended to help programmers write the most efficient code possible, whether that is measured in processor cycles, memory, or power. It starts with an introduction to using the tool chain, covers the importance of knowing the embedded architecture before optimization, then moves on to cover a wide range of optimization techniques. Techniques are presented which are valid on all programmable architectures — C-language optimization techniques and general loop transformations.

Real-world examples are presented throughout. When designing an embedded system, special care must be taken when you design the user interface. For simple devices, simple text, command buttons, and LEDs are adequate. For more complex systems, full graphical user interfaces and touch panels are required. User interface design focuses on the following key areas: a the design of interfaces between different software components, b the design of interfaces between the software and other nonhuman producers and consumers of information, and c the design of the interface between a human and the computer.

This chapter will focus on the process, guidelines, human factors and techniques required to design an effective user interface. Software Engineering for Embedded Systems: Chapter 1. Thank you! Published by Bernard Newhouse Modified over 4 years ago.

All rights reserved. Bandwidth required? What is the output driving? Most Important Spec s? What Output Voltage s , and Output Current s do you need? How would you prioritize size, efficiency, and cost? What are the most important parameters in the design? What is it interfacing to? Special needs? TI covers all of the performance and voltage nodes.

X-axis represents speed with faster parts to the left. Y-axis represents output current with stronger driving parts towards the top. Note that CBT has no drive and is near Zero propagation delay. This is because the CBT family is a group of bus switches that when closed simple act like a closed wire, unless being used for voltage translation. In this foil are all our low-voltage families with their associated speed and drive performance at the different voltage nodes at which they are specified.

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AUC, the newest member of our Logic Portfolio, offers operation down to 0. If you are in the situation to design a new application with 3. There is also a migration path showing potential equivalent families for 2.

Chapter 17, Multicore Software Development for DSP Chapter 17, Multicore Software Development for DSP
Chapter 17, Multicore Software Development for DSP Chapter 17, Multicore Software Development for DSP
Chapter 17, Multicore Software Development for DSP Chapter 17, Multicore Software Development for DSP
Chapter 17, Multicore Software Development for DSP Chapter 17, Multicore Software Development for DSP
Chapter 17, Multicore Software Development for DSP Chapter 17, Multicore Software Development for DSP
Chapter 17, Multicore Software Development for DSP Chapter 17, Multicore Software Development for DSP
Chapter 17, Multicore Software Development for DSP Chapter 17, Multicore Software Development for DSP
Chapter 17, Multicore Software Development for DSP Chapter 17, Multicore Software Development for DSP

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