10CL010YU256I7G
Manufacturer | Altera |
Description | IC FPGA 176 I/O 256UBGA |
Category | Integrated Circuit |
Package | BGA-256 |
Status | New & original |
Ship From | HK/SHENZHEN |
Stocks | 10,000 |
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Description
The component “10CL010YU256I7G” appears to be an FPGA (Field-Programmable Gate Array) from Intel (formerly Altera). It belongs to the Intel Cyclone 10 series of FPGAs.
FPGAs are programmable integrated circuits that allow users to configure digital logic circuits and create custom digital designs. They consist of an array of configurable logic blocks, interconnects, and I/O (input/output) resources. The configuration of an FPGA can be modified or reprogrammed to implement different logic functions or complex digital systems.
Based on the naming convention used by Intel for their FPGA products, we can make some assumptions about the “10CL010YU256I7G” FPGA. The “Cyclone 10” indicates that it belongs to the Cyclone 10 family, which is known for its low power consumption and cost-effectiveness. The alphanumeric characters in the part number likely represent specific variant, speed grade, or package type details of the FPGA.
The application of the “10CL010YU256I7G” FPGA would depend on its characteristics, features, and the requirements of the project or system it is being used in. Generally, FPGAs like the Cyclone 10 series find applications in various fields, including:
1. Embedded systems: FPGAs can be integrated into embedded systems to provide customizable and reconfigurable hardware functionality. They are often used in applications such as automotive electronics, industrial control systems, and aerospace systems.
2. Communication systems: FPGAs can be employed in communication systems for tasks such as protocol conversion, signal processing, and data packet routing.
3. Video and image processing: FPGAs can be used to accelerate video and image processing algorithms, such as video encoding and decoding, image recognition, and computer vision.
4. High-performance computing: FPGAs can be utilized as co-processors alongside traditional CPUs or GPUs to accelerate specific computations in areas like data centers, scientific computing, and cryptography.