Microprocessor Report publishes extremely interesting comparison of STMicroelectronics SPEAr-1300 and Xilinx Zynq ARM-based, dual core application processors
Last month, STMicroelectronics introduced the latest in its line of SPEAr (Structured Processor Enhanced Architecture) application processors and Microprocessor Report has just published a very interesting article about the new products (paid subscription required). The SPEAr-1300 series is based on two 600MHz ARM Cortex-A9 microprocessor cores (upgraded from the 333MHz ARM9 cores used in the earlier SPEAr parts). Each ARM processor core in the SPEAr-1300 embedded application processor has two 32-kbyte L1 caches and the two processor cores share a 512-kbyte L2 cache. The SPEAr-1300 application processor also includes a number of hard-core IP peripherals including a Gigabit Ethernet port, a PCIe/SATA port, and two USB 2.0 ports. In addition, there are 1.3 million uncommitted ASIC gates that can be configured for specific applications and, in a throwback to the disco days of the 1980s, these ASIC gates are configured as a metal-defined gate array so the wafers can be stockpiled awaiting final metal designs.
To read the full article, click here
Related Semiconductor IP
- Ultra Ethernet MAC & PCS 100G/200G/400G/800G
- Ethernet PCS 100G/200G/400G/800G/1.6T
- Ethernet MAC 100G/200G/400G/800G/1.6T
- Junction Over-Temperature Detector with Linear Centigrade-to-Voltage Output - X-FAB XT018
- Performance P570 Gen 3
Related Blogs
- Using Physical USB Devices with the Xilinx Zynq-7000 Virtual Platform
- PLD Overview: Xilinx and Altera
- Xilinx ARMs FPGAs, Altera to MIPSify Them
- Intel Eyeing Xilinx?
Latest Blogs
- Inside the SiFive Performance™ P570 Gen 3: High Performance Efficiency for Next-Generation Consumer and Commercial Applications
- What the steam engine can teach us about modern chip design
- Automotive silicon in the era of AI, functional safety, and cybersecurity
- JPEG XS Officially Joins GenICam, The Machine Vision Standard Managed By EMVA
- Beyond PCIe Compliance: Why Stress Testing Is Crucial for Edge AI Deployments