Cray Incorporated

Hewlett Packard Enterprise Development LP

Josh Williams

Matthew Kappel

Steve Martin

David Rush

Clark Snyder

James Robert Kohn

Andrew B Hastings

Kitrick Sheets

James G Bravatto

Jonathan Gettler

Steve Piatz

Peter Hill

Greg Titus

To eliminate the adverse effects of power swings in a large scale computing system during the life cycle of an application or job, control of several operating characteristics for the collective group of processors is provided. By providing certain levels of coordination for the many processors utilized in large scale computing systems, significant and abrupt changes in power needs can be avoided. In certain circumstances, this may involve limiting the transition between several C-States of the processors involved and the overall power transitions for a large scale system are not detrimental and do not create issues for the data center or local power utility. Some cases will require stepped transitions between C-States, while other cases will include both stepped and modulated transitions. Other cases will incorporate random wait times at the various transitions in order to spread the power consumption involved. In yet further circumstances the C-States can be pinned to a specific setting, thus avoiding transitions caused by C-State transitions. To deal with further issues, the processor P-States can also be overridden.

Application ramp rate control in large installations

Systems and methods for scheduling program units that are part of a process executed within an operating system are disclosed. Additionally, at least one thread is started within the operating system, the thread is associated with the process. Further, a plurality of streams within the thread are selected for execution on a multiple processor unit. Upon the occurrence of a context shifting event, one of the streams enters a kernel mode. If the first stream to enter kernel mode must block, then the execution of the other streams of the plurality of streams is also blocked.

Scheduling synchronization of programs running as streams on multiple processors

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Josh Williams