Workload optimized server for intelligent algorithm trading platforms

Patent metadata

Field	Value
Publication number	US-10198296-B2
Application number	US-201715456457-A
Country	US
Kind code	B2
Filing date	Mar 10, 2017
Priority date	Sep 11, 2014
Publication date	Feb 5, 2019
Grant date	Feb 5, 2019

Abstract

Systems and methods for a workload optimized server for intelligent algorithm trading platforms. In an illustrative, non-limiting embodiment, an Information Handling System (IHS) may include a plurality of Central Processing Units (CPUs) and a control circuit coupled to the plurality of CPUs, the control circuit having a memory configured to store program instructions that, upon execution by the control logic, cause the IHS to: set a first number of enabled cores in a first CPU to operate with a first all-core turbo frequency, and set a second number of enabled cores in a second CPU to operate with a second all-core turbo frequency, where the first number of enabled cores is different from the second number of enabled cores, and where at least one of the first or second all core turbo frequencies is selected to cause the IHS to operate with reduced execution jitter.

First claim

The invention claimed is:

1. An Information Handling System (IHS), comprising: a plurality of Central Processing Units (CPUs); and a memory having program instructions that, upon execution, cause the IHS to: set a first number of cores in a first CPU to operate with a first frequency; and set a second number of cores in a second CPU to operate with a second frequency, wherein the first number of cores is different from the second number of cores, and wherein at least one of the first or second frequencies is selected to cause the IHS to operate with reduced execution jitter.

2. The IHS of claim 1 , wherein the memory is part of a Basic Input/Output System (BIOS), wherein a first portion of an application is run by the first CPU, and wherein a second portion of the application is run by the second CPU.

3. The IHS of claim 2 , wherein the first portion of the application includes frequency sensitive threads and wherein the second portion of application includes parallel execution sensitive threads.

4. The IHS of claim 3 , wherein the application includes a high frequency trading application, wherein the first portion includes a feed handling and/or trading platform, and wherein the second portion includes an analytics platform.

5. The IHS of claim 1 , wherein the first number of cores is smaller than the second number of cores, and wherein the first frequency is greater than the second frequency.

6. The IHS of claim 1 , wherein the program instructions, upon execution by the control logic, further cause the IHS to select the first and second frequencies using a table.

7. The IHS of claim 6 , wherein the first frequency is a highest frequency available for the first number of cores in the table.

8. The IHS of claim 1 , wherein the program instructions, upon execution by the control logic, further cause the IHS to: change at least one of the first number of cores or the second number of cores; and change at least one of the first or second frequencies to reduce the execution jitter.

9. The IHS of claim 1 , wherein the program instructions, upon execution by the control logic, further cause the IHS to schedule all Advanced Vector Extensions (AVX) threads on the second CPU instead of the first CPU.

10. A computer-implemented method, comprising: receiving an indication of: (a) a first number of cores in a first processor of a multi-processor Information Handling System (IHS) chosen to execute a first part of an application; (b) a second number of cores in a second processor of the multi-processor IHS chosen to execute a second part of the application; and (c) a type of instruction to be executed within the first or second parts of the application; and selecting a first frequency of the first processor and a second frequency of the second processor to reduce an execution jitter of the application during concurrent execution of the first and second portions, the selection based upon the first number of cores, the second number of cores, and the type of instruction, wherein the first number of cores is different from the second number of cores.

11. The computer-implemented method of claim 10 , wherein the first and second number of cores are selected by a human user.

12. The computer-implemented method of claim 10 , wherein the application includes a high frequency trading application, wherein the first portion includes a feed handling and/or trading platform, and wherein the second portion includes an analytics platform.

13. The computer-implemented method of claim 10 , wherein the first number of cores is smaller than the second number of cores, and wherein the first frequency is greater than the second frequency.

14. The computer-implemented method of claim 10 , wherein selecting the first and second all-core turbo frequencies includes using a table.

15. The computer-implemented method of claim 10 , wherein the first all-core turbo frequency is a highest frequency available for the first number of cores in the table.

16. The computer-implemented method of claim 10 , wherein the type of instructions includes an Advanced Vector Extensions (AVX) instruction.

17. A hardware memory storage device having program instructions stored thereon that, upon execution by an Information Handling System (IHS), cause the IHS to: receive an indication of a type of instruction to be executed by a first CPU; and select a first frequency of the first CPU and a second frequency of a second CPU to reduce an execution jitter of an application including one or more instructions of the indicated type, wherein the first number of cores is different from the second number of cores.

18. The hardware memory storage device of claim 17 , wherein the type of instructions includes an Advanced Vector Extensions (AVX) instruction.

19. The hardware memory storage device of claim 17 , wherein the program instructions, upon execution by the IHS, further cause the IHS to: receive an indication of a first number of cores in the first CPU chosen to execute a first part of an application and of a second number of cores in the second CPU to execute a second part of the application; and select the first and second frequencies based, at least in part, upon the first and second number of cores.

20. The hardware memory storage device of claim 19 , wherein the application includes a high frequency trading application, wherein the first portion includes a feed handling and/or trading platform, and wherein the second portion includes an analytics platform.

Assignees

• Dell Products Lp

Inventors

• Khatri Mukund P

Classifications

• G06F9/4405

  Initialisation of multiprocessor systems · CPC title

• G06F9/505 Primary

  considering the load · CPC title

• G06F9/5094 Primary

  where the allocation takes into account power or heat criteria (power management in computers in general G06F1/3203; thermal management in computers in general G06F1/206) · CPC title

• Y02D10/22

  Cross-Sectional Technologies · mapped topic

• Y02D10/00

  Energy efficient computing, e.g. low power processors, power management or thermal management · CPC title