TMS32DM6467CCUTAV6

Series:	TMS320DM646x, DaVinci™
Packaging:	Tube
Part Status:	Not For New Designs
Type:	Digital Media System-on-Chip (DMSoC)
Interface:	EBI/EMI, Ethernet, HPI, I²C, McASP, PCI, SPI, UART, USB
Clock Rate:	--
Non-Volatile Memory:	ROM (8 kB)
On-Chip RAM:	248kB
Voltage - I/O:	1.8V, 3.3V
Voltage - Core:	1.05V, 1.20V
Operating Temperature:	-40°C ~ 105°C (TC)
Mounting Type:	Surface Mount
Package / Case:	529-BFBGA, FCBGA
Supplier Device Package:	529-FCBGA (19x19)
Base Part Number:	TMS32DM6467

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The TMS32DM6467CCUTAV6 is an embedded Digital Signal Processor (DSP) that is designed to be used in a wide variety of applications. It is based on the Texas Instruments’ TMS320C66x DSP Core, which is a multi-threaded arm-based DSP, and offers a high degree of flexibility in system design.The TMS32DM6467CCUTAV6 supports up to 4-MFLOP simultaneously to deliver high performance in embedded applications. It features a choice of 6 (4 64-bit, 2 32-bit) DSP cores with up to 48 KB of instruction and data caches, 32-bit memory interfaces, up to 16 Kb of embedded SRAM, a 32-bit RISC core, and a wide range of peripheral functions. It offers a C66x core frequency of up to 800 MHz and a maximum processing power of up to 3528 GOPs.The key applications of the TMS32DM6467CCUTAV6 include: video and image processing, telecom and wireless applications, digital signal processing, automotive, embedded application, and home networks. It is well-suited for embedded applications requiring high performance image processing and real-time analysis of data streams.The primary working principle of the TMS32DM6467CCUTAV6 is that it provides a framework for parallel computation and data processing. It has DSP cores with instruction and data caches, allowing for fast data-processing speeds. The instruction cache stores instructions, allowing for fast repeatable execution of instructions. The data cache also stores data, allowing for faster data manipulation and data processing.The TMS32DM6467CCUTAV6 is a powerful and highly versatile processor that can be used to accelerate real-time signal processing in embedded applications. It is capable of efficiently running multiple computational tasks in parallel, increasing processing speed and reducing power consumption. It also offers features such as a multi-threaded architecture for parallelizing tasks, power management for reducing power consumption, and virtualization support. Its vast range of applications and its highly versatile architecture makes it an ideal choice for embedded systems.

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