
Allicdata Part #: | TMS320C6474FGUNA-ND |
Manufacturer Part#: |
TMS320C6474FGUNA |
Price: | $ 166.50 |
Product Category: | Integrated Circuits (ICs) |
Manufacturer: | Texas Instruments |
Short Description: | IC DSP FIXED POINT 561FCBGA |
More Detail: | N/A |
DataSheet: | ![]() |
Quantity: | 1000 |
60 +: | $ 151.36000 |
Series: | TMS320C647x |
Packaging: | Tube |
Part Status: | Active |
Type: | Fixed Point |
Interface: | Ethernet MAC, I²C, McBSP |
Clock Rate: | 1GHz |
Non-Volatile Memory: | ROM (64 kB) |
On-Chip RAM: | 3.168MB |
Voltage - I/O: | 1.1V, 1.8V |
Voltage - Core: | 1.10V |
Operating Temperature: | -40°C ~ 100°C (TC) |
Mounting Type: | Surface Mount |
Package / Case: | 561-BFBGA, FCBGA Exposed Pad |
Supplier Device Package: | 561-FCBGA (23x23) |
Base Part Number: | TMS320C6474 |
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Digital signal processors (DSP) are used in a wide range of applications and are some of the most common microprocessors available. The TMS320C6474FGUNA is a single-core DSP processor used in the embedded market. It has excellent performance, low power consumption, plenty of development resources, and is suitable for many embedded applications.
The TMS320C6474FGUNA consists of two devices in one package: a TMS320C6474 digital signal processor with up to 2 Gbytes of external SDRAM and a reconfigurable System in Package (SiP) with up to 32 Gbytes of on-chip memory. The devices support a wide range of software architectures and applications, including embedded systems, industrial controls, image processing and digital signal processing. The system also includes an integrated ARM Cortex-M4 MCU, a high-speed interconnect network and a range of low-power processing technologies.
The TMS320C6474FGUNA features a 600MHz ARM Cortex-M4 Core with two co-processors, two DMA buses, two SIMD units and four 32-bit serial ports. The processor includes up to 2 GBytes of external SDRAM and up to 32 GBytes of on-chip memory. It also has dual ARM NEON media processing engine, a high-speed multi-layer interconnect network, and a low-power processing technology. The device is designed to operate at both low voltage and high voltage, which helps reduce energy consumption. The device is also designed with a high-efficiency 2D/3D graphics processor and an Imagination Technologies PowerVR SGX 540 graphics core.
The TMS320C6474FGUNA is primarily used in embedded, industrial, automotive, consumer, and medical applications. The device is ideal for applications such as image processing, video encoding, audio, and streaming applications. It is also suitable for a variety of automotive applications such as advanced driver assistance systems (ADAS), infotainment systems, and autonomous driving systems. The processor is designed to be highly efficient and power efficient, so it can be used in battery-powered applications with low power consumption. The device also has a wide range of interfaces, including USB, Ethernet, UART, SPI and I2C.
The working principle of the TMS320C6474FGUNA is based on an asynchronous, non-blocking design that allows data to be processed in parallel without any waiting or stalling. The processor is capable of handling different types of data in parallel, allowing it to process large amounts of data quickly and efficiently. The processor also includes cache and pre-fetch technology which enables it to access data and instructions from external memory quickly. The TMS320C6474FGUNA features a powerful vector instruction set, which allows for efficient vector processing for tasks such as image, audio, and video processing. The device also incorporates the advanced NEON media processing engine, which is capable of performing complex tasks such as object recognition, facial recognition, and 3D graphics processing.
The TMS320C6474FGUNA is a powerful, high-performance digital signal processor with low power consumption, excellent multimedia capabilities, and ample resources for embedded application development. The device is ideal for a wide range of embedded, industrial, automotive, consumer and medical applications. The device is designed to handle complex data processing tasks while consuming low power, and it is capable of delivering excellent performance in a variety of applications.
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