Feeds

SiS unveils 16GB quad-channel Rambus chipset

PAT-plus

  • alert
  • submit to reddit

SiS has launched a Rambus-based chipset aimed at Pentium processors running over an 800MHz effective bit rate frontside bus.

The SiS659 will feature the next generation of SiS' HyperStreaming technology, the Advanced HyperStreaming Engine. AHSE accelerates the movement of bulk data, whether that's information streamed from the Internet or between storage devices, such as video content, through the PC. It targets single streams of data and multiple, parallel streams through a mix of latency reduction, pipelining, real-time access, prioritisation and channel arbitration.

AHSE adds an Intel Performance Acceleration Technology (PAT) style system, "and integrates hardware management and system resource allocation, including the CPU, front side bus, south-bridge chipset, memory controller, graphics interface, and peripheral I/O", says SiS.

The chipset provides a quad-channel memory bus designed to take 1.2GHz RDRAM for 9.6GBps of memory bandwidth. Up to 16GB of memory is supported.

SiSR659 samples will be available in the fourth quarter, the company said. ®

Whitepapers

Why and how to choose the right cloud vendor
The benefits of cloud-based storage in your processes. Eliminate onsite, disk-based backup and archiving in favor of cloud-based data protection.
Forging a new future with identity relationship management
Learn about ForgeRock's next generation IRM platform and how it is designed to empower CEOS's and enterprises to engage with consumers.
High Performance for All
While HPC is not new, it has traditionally been seen as a specialist area – is it now geared up to meet more mainstream requirements?
How to simplify SSL certificate management
Simple steps to take control of SSL certificates across the enterprise, and recommendations centralizing certificate management throughout their lifecycle.
New hybrid storage solutions
Tackling data challenges through emerging hybrid storage solutions that enable optimum database performance whilst managing costs and increasingly large data stores.