
Allicdata Part #: | ADSP-21160NKBZ-100-ND |
Manufacturer Part#: |
ADSP-21160NKBZ-100 |
Price: | $ 197.04 |
Product Category: | Integrated Circuits (ICs) |
Manufacturer: | Analog Devices Inc. |
Short Description: | IC DSP CONTROLLER 32BIT 400-BGA |
More Detail: | N/A |
DataSheet: | ![]() |
Quantity: | 29 |
1 +: | $ 179.12800 |
Series: | SHARC® |
Packaging: | Tray |
Part Status: | Active |
Type: | Floating Point |
Interface: | Host Interface, Link Port, Serial Port |
Clock Rate: | 100MHz |
Non-Volatile Memory: | External |
On-Chip RAM: | 512kB |
Voltage - I/O: | 3.30V |
Voltage - Core: | 1.90V |
Operating Temperature: | 0°C ~ 85°C (TC) |
Mounting Type: | Surface Mount |
Package / Case: | 400-BBGA |
Supplier Device Package: | 400-PBGA (27x27) |
Base Part Number: | ADSP-21160 |
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Embedded systems are becoming increasingly popular due to their ability to manage complex data processing and computing tasks in a small package. Embedded systems make use of several different types of components and tools to achieve their goals. One of these components is digital signal processors (DSPs), which have applications in a wide variety of fields and are a cornerstone of many embedded systems. As an example, the ADSP-21160NKBZ-100 is a DSP used for a range of applications in embedded systems. This article will discuss the ADSP-21160NKBZ-100’s application field and working principle in detail.
The ADSP-21160NKBZ-100 is a 64-bit digital signal processor with a unique architecture which allows for the efficient storage and processing of data. This DSP uses a pipeline-like architecture, allowing it to quickly perform data processing tasks quickly and efficiently. This architecture is ideal for embedded systems, where compact size and low power consumption are crucial. The processor operates at a maximum clock speed of 150MHz and has a 16KB instruction cache and a 4KB data cache.
The primary application of the ADSP-21160NKBZ-100 is data processing and management. Its architecture is designed to maximize the efficiency of data processing tasks and reduce the need for additional external components. This makes it ideal for embedded systems, where size and power consumption are important factors. This DSP can also be used for image and audio processing. Furthermore, its architecture is suitable for a wide range of data processing tasks, including audio and video encoding/decoding, basic audio and video processing, and digital photo manipulation and enhancement.
The ADSP-21160NKBZ-100’s architecture is based on superscalar pipelining. This architecture utilizes multiple processing units to execute instructions in parallel and make full use of the instruction cache. This makes it highly efficient and reduces the need for external components. Additionally, the architecture also enables the processor to interpret several instructions simultaneously, allowing it to handle complex data processing tasks quickly and efficiently.
To further improve performance, the ADSP-21160NKBZ-100 also uses a set of dynamic optimization techniques. This allows the processor to dynamically adjust its instruction set to maximize the efficiency of data processing. Additionally, the processor also utilizes speculative execution. This allows the processor to determine which instructions will provide the most benefit and prioritize them accordingly. This ensures that the processor performs data processing tasks quickly and efficiently.
The ADSP-21160NKBZ-100 is designed to be as efficient as possible. It features a low power consumption, making it suitable for a range of embedded applications. Furthermore, its dynamic optimization techniques assess a data processing task and adjust the processor’s instruction set accordingly. This ensures that the processor performs data processing tasks quickly and efficiently.
In summary, the ADSP-21160NKBZ-100 is a 64-bit digital signal processor that is ideal for a range of embedded applications. Its pipeline-like architecture provides a highly efficient system for data processing. Furthermore, its dynamic optimization techniques allow for efficient data processing, even for complex tasks. Finally, its low power consumption makes it suitable for a range of applications where size and power consumption are important considerations.
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