Abstract: A system is provided for allocating memory for data of a program for execution by a computer system with a multi-tier memory that includes LBM and HBM. The system accesses a data structure map that maps data structures of the program to the memory addresses within an address space of the program to which the data structures are initially allocated. The system executes the program to collect statistics relating to memory requests and memory bandwidth utilization of the program. The system determines an extent to which each data structure is used by a high memory utilization portion of the program based on the data structure map and the collected statistics. The system generates a memory allocation plan that favors allocating data structures in HBM based on the extent to which the data structures are used by a high memory utilization portion of the program.

Abstract: A system is provided for allocating memory for data of a program for execution by a computer system with a multi-tier memory that includes LBM and HBM. The system accesses a data structure map that maps data structures of the program to the memory addresses within an address space of the program to which the data structures are initially allocated. The system executes the program to collect statistics relating to memory requests and memory bandwidth utilization of the program. The system determines an extent to which each data structure is used by a high memory utilization portion of the program based on the data structure map and the collected statistics. The system generates a memory allocation plan that favors allocating data structures in HBM based on the extent to which the data structures are used by a high memory utilization portion of the program.

Abstract: A system is provided for allocating memory for data of a program for execution by a computer system with a multi-tier memory that includes LBM and HBM. The system accesses a data structure map that maps data structures of the program to the memory addresses within an address space of the program to which the data structures are initially allocated. The system executes the program to collect statistics relating to memory requests and memory bandwidth utilization of the program. The system determines an extent to which each data structure is used by a high memory utilization portion of the program based on the data structure map and the collected statistics. The system generates a memory allocation plan that favors allocating data structures in HBM based on the extent to which the data structures are used by a high memory utilization portion of the program.

Abstract: A system is provided for allocating memory for data of a program for execution by a computer system with a multi-tier memory that includes LBM and HBM. The system accesses a data structure map that maps data structures of the program to the memory addresses within an address space of the program to which the data structures are initially allocated. The system executes the program to collect statistics relating to memory requests and memory bandwidth utilization of the program. The system determines an extent to which each data structure is used by a high memory utilization portion of the program based on the data structure map and the collected statistics. The system generates a memory allocation plan that favors allocating data structures in HBM based on the extent to which the data structures are used by a high memory utilization portion of the program.

Abstract: An optimization system to apply directives to a computer program without having to perform repeated front-end compilations of source code of the computer program is provided. In some embodiments, the optimization system performs a first compilation of the source code of the program to generate first front-end code and first back-end code of the computer program. The compilation includes a first front-end compilation and a first back-end compilation. The optimization system identifies a compiler directive to apply to a location within the first front-end code. The optimization system then performs a second back-end compilation of the first front-end code factoring in the compiler directive to generate second back-end code affected by the compiler directive.

Abstract: An error message handling buffer comprises a first buffer and a second buffer. A first index is associated with the first buffer and a second index is associated with the second buffer. A buffer controller is operable to write and read messages in the buffer, such that messages are written to the buffer of the first and second buffers that has a buffer index value lesser than the buffer size, and read from the other of the first and second buffers, the other buffer having an index value greater than or equal to the buffer size.

Abstract: An error message handling buffer comprises a first buffer and a second buffer. A first index is associated with the first buffer and a second index is associated with the second buffer. A buffer controller is operable to write and read messages in the buffer, such that messages are written to the buffer of the first and second buffers that has a buffer index value lesser than the buffer size, and read from the other of the first and second buffers, the other buffer having an index value greater than or equal to the buffer size.

Abstract: A distributed computing system contains one or more application nodes. One or more control nodes provide for the efficient and automated allocation and management of computing functions and resources within the distributed computing system. The control node includes an automation subsystem that provides autonomic power control for the application nodes, regardless of which vendor manufactured the application nodes. For power controllers not specifically supported by the distributed computing system, a universal power controller responds to power down instructions by causing a targeted application node to execute an idle software image and reports that the application node has been successfully powered down.

Abstract: Three new, efficient protocols for providing communications between a user's application program, a Multiprocessing Library, and the host Operating System is described. These new protocols are termed WAKEUP, GIVEUP, and CONTEXT-TO-USER-SPACE. They utilize the concept of a conduit through which the Operating System and the user application program can communicate without the need for expensive system calls. A primary use for the new protocols is the scheduling of multiple Central Processing Units (CPUs) into a single user program in a multi-CPU, multiprogramming, multi-tasking environment. WAKEUP allows a master process to quickly request the asynchronous scheduling of slave processes to help execute parallel tasks. GIVEUP allows a slave process time to finish a task before Operating System interruption. Once completed with its task, there is no need to save the context of the slave process.