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White Paper: Multithreaded Application Acceleration with Chip Multithreading (CMT)

This white paper highlights the technical benefits Sun's chip multithreading (CMT) UltraSPARC T2 processor delivers to multithreaded applications, and provides detailed examples of significant performance gains in three application workloads: telco, cryptography, and string searching.

White Paper: Multithreaded Application Acceleration with Chip Multithreading (CMT)

 

WCAE 2007: Industry Perspective on Chip Multi-Threading: Bridging the Gap with Academia

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Written by Shrenik Mehta and Dwayne Lee   
Saturday, 09 June 2007 10:00

Abstract: Presentation made at the Workshop on Computer Architecture Education 2007 a part of the 2007 Federated Computing Research Conference (FCRC) June 9-16, 2007 at San Diego, CA

Chip Multi-Threading is the new wave that is sweeping this decade. It is no more a theoretical discussion topic but one where revolutionary products with CMT will permeate every aspect of computing infrastructure. So, how does Academia innovate on this new frontier? Sun Microsystems has contributed to the open-source community a large state-of-the-art design called the, OpenSPARC T1. This new open source version of the UltraSPARC T1 design is a 64 bit, 32 threaded processor design available at no charge. For the first time in history, developers gain access to the chip multi-threading (CMT) technology unique to the UltraSPARC T1 processor, which is released under the GNU General Public License (GPL). The specifications, verilog RTL, verification environment, diagnostic test suite, SPARC Architecture Model, instruction accurate simulator, OBP, hypervisor and Solaris OS image are all made available.

In this presentation we will discuss what Sun Microsystems is doing to bring a commercial CMT architecture and design into the classroom, "Bridging the gap" between industry and academia.

 

Bio:  Shrenik Mehta, Sr. Director, Frontend Technologies &  OpenSPARC Program, Microelectronics, Sun Microsystems.

 

Presentation: "Industry Perspective on Chip Multi-Threading: Bridging the Gap with Academia using OpenSPARC"

 

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