Rack-scale Computing

設立年月日:January 1, 2013年

 

New hardware technology such as systems- and networks-on-chip (SOCs and NOCs), switchless network fabrics, silicon photonics, and RDMA, are redefining the landscape of data center computing, enabling interconnecting thousands of cores at high speed at the scale of today’s racks. We refer to this new class of hardware as rack-scale computers (RSCs) because the rack is increasingly replacing the individual server as the basic building block of modern data centers. Early examples of RSCs have already appeared on the market from manufactures such as AMD SeaMicro (opens in new tab), HP (opens in new tab), and Intel (opens in new tab) and similar solutions are being deployed at large-scale companies such as Facebook (opens in new tab)and Microsoft (opens in new tab).

These new hardware trends challenge traditional assumptions and force us to rethink existing software architectures. The goal of the Rack-scale Computing project is to perform a cross-layer redesign of the way the hardware, OS, storage and network stacks, and applications are built and interact in that new context. The key insight is that by co-designing different layers of the stack, it is possible to achieve both better performance and higher efficiency.

These new hardware trends challenge traditional assumptions and force us to rethink existing software architectures. The goal of the Rack-scale Computing project is to perform a cross-layer redesign of the way the hardware, OS, storage and network stacks, and applications are built and interact in that new context. The key insight is that by co-designing different layers of the stack, it is possible to achieve both better performance and higher efficiency.

In our early CamCube work, we explored the opportunities provided by distributed switching fabrics and the benefits of tightly integrating applications and networks.  Our on-going efforts are focused on supporting efficient access to rack-scale resources. In the Pelican project we are designing a cost-effective storage appliance for cold data. The R2C2 project aims at designing a clean-slate network stack, purposely optimized for rack-scale computers. Finally, in the Flamingo project, we are working on solutions to automate the design of rack-scale computers.

人数

Austin Donnellyの肖像

Austin Donnelly

Senior Principal Research Engineer Lead

Dushyanth Narayananの肖像

Dushyanth Narayanan

Senior Principal Researcher

Hitesh Ballaniの肖像

Hitesh Ballani

Partner Researcher

Paolo Costaの肖像

Paolo Costa

Partner Research Manager

Richard Blackの肖像

Richard Black

Partner Research Manager

Sergey Legtchenkoの肖像

Sergey Legtchenko

Principal Researcher