In our Deep Green Editor’s Choice section, we look at technology helping design green into today’s new products.
Connectivity is becoming more and more important, with establishing and maintaining a connection at low power being the objective. In this installment of Deep Green, we review a GPS receiver, a new class of DIMM modules, and a Continua Certified USB implementation helping medical devices connect efficiently.
GPS engines match power to need
Atheros Communications
www.atheros.com
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Isolation memory buffers reduce power
Memory capacity and bandwidth needs are always going up, but servers are being pushed to decrease power consumption even as these performance factors increase. JEDEC has established a new specification for an isolation memory buffer that replaces a traditional register, creating a new class of devices called Load-Reduced Dual-Inline Memory Module (LRDIMMs).
Inphi’s new iMB02-GS01 isolation memory buffer enables more ranks of DRAM to be populated on a memory module. On most usage models, Inphi claims that a quad-ranked LRDIMM consumes lower power in both active and idle conditions compared to an equivalent quad-ranked RDIMM with the same capacity. This overall reduction in power consumption is brought about by improved termination power optimization on the LRDIMM.
Inphi Corporation
www.inphi.com
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Continua Certified USB agent stack
In previous coverage of the Continua Health Alliance, we heard about the benefits of connected devices in health care. One of the methods the group is focused on is USB. While many microcontrollers can provide a USB connection, a Continua Certified USB agent stack is needed to ensure interoperability of the device at work, such as a blood glucose meter, digital thermometer, pulse oximeter, or blood pressure monitor.
S3 Group has announced availability of the first Continua Certified USB-enabled platform in the form of the Embedded Agent Stack (EAS). EAS is an ISO/IEEE 11073-compliant PAN device (agent) stack. The standard defines how to exchange and evaluate vital signs data between point-of-care devices. The EAS implementation is optimized for resource-constrained platforms such as ultra-low-power MCUs like TI’s MSP430.
S3 Group
www.s3group.com/telehealth
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