Designers of telecom access infrastructure equipment can now double the number of VoIP and conferencing channels per dollar, lowering system cost and POWER while boosting overall performance. Texas Instruments (TI) has announced availability of the high-performance, cost-effective TMS320C6452 digital signal processor (DSP) designed to optimize price and performance for today’s process intensive multi-channel infrastructure and medical imaging systems. Simultaneously, TI has announced the TMS320C6455 DSP, which at 1.2GHz is the world’s fastest single core DSP, says the company.“Over the years, TI’s C6000T DSP platform has proven to be reliable, cost effective and easy to use,” said Simon Chouldjian, VP of hardware engineering, AltiGen. “TI continually improves its C6000 DSPs with higher speeds and more efficient instruction sets. With the high-performance products and great support AltiGen has received during the product development lifecycle, it is easy to see why we are committed to leveraging TI’s roadmap.”With a more than 30 percent price reduction over TI’s popular TMS320C6415T DSPs, the new code compatible 900MHz C6452 DSP allows designers to quickly and easily migrate their designs from the widely deployed C641x based products. Therefore, this broad base of customers can benefit from the advanced communications peripherals, expanded memory, heightened performance and cost benefits of the new C6452 device.Based on TI’s enhanced TMS320C64x+T core, the C6452 DSP delivers double the L1 cache memory and 40 percent more L2 cache than the C6415T, giving users more headroom to easily add differentiating features to their designs. The C6452 DSP also includes two gigabit Ethernet MAC ports and one gigabit switch, which greatly improves the efficiency of multi-chip designs by automatically monitoring the data stream to ensure that only the appropriate packets consume DSP performance. Additionally, the device is equipped with a Telecom Serial Interface Port (TSIP), providing a seamless connection to common telecom serial data streams, ultimately improving performance while increasing robustness and flexibility.