Abstract: Methods, articles of manufacture, and apparatus are disclosed to manage workload memory allocation. An example method includes identifying a primary memory and a secondary memory associated with a platform, the secondary memory having first performance metrics different from second performance metrics of the primary memory, identifying access metrics associated with a plurality of data elements invoked by a workload during execution on the platform, prioritizing a list of the plurality of data elements based on the access metrics associated with corresponding ones of the plurality of data elements, and reallocating a first one of the plurality of data elements from the primary memory to the secondary memory based on the priority of the first one of the plurality of memory elements.

Abstract: Methods, articles of manufacture, and apparatus are disclosed to manage workload memory allocation. An example method includes identifying a primary memory and a secondary memory associated with a platform, the secondary memory having first performance metrics different from second performance metrics of the primary memory, identifying access metrics associated with a plurality of data elements invoked by a workload during execution on the platform, prioritizing a list of the plurality of data elements based on the access metrics associated with corresponding ones of the plurality of data elements, and reallocating a first one of the plurality of data elements from the primary memory to the secondary memory based on the priority of the first one of the plurality of memory elements.

Abstract: Methods, articles of manufacture, and apparatus are disclosed to manage workload memory allocation. An example method includes identifying a primary memory and a secondary memory associated with a platform, the secondary memory having first performance metrics different from second performance metrics of the primary memory, identifying access metrics associated with a plurality of data elements invoked by a workload during execution on the platform, prioritizing a list of the plurality of data elements based on the access metrics associated with corresponding ones of the plurality of data elements, and reallocating a first one of the plurality of data elements from the primary memory to the secondary memory based on the priority of the first one of the plurality of memory elements.

Abstract: Methods, articles of manufacture, and apparatus are disclosed to manage workload memory allocation. An example method includes identifying a primary memory and a secondary memory associated with a platform, the secondary memory having first performance metrics different from second performance metrics of the primary memory, identifying access metrics associated with a plurality of data elements invoked by a workload during execution on the platform, prioritizing a list of the plurality of data elements based on the access metrics associated with corresponding ones of the plurality of data elements, and reallocating a first one of the plurality of data elements from the primary memory to the secondary memory based on the priority of the first one of the plurality of memory elements.

Abstract: Methods, articles of manufacture, and apparatus are disclosed to manage workload memory allocation. An example method includes identifying a primary memory and a secondary memory associated with a platform, the secondary memory having first performance metrics different from second performance metrics of the primary memory, identifying access metrics associated with a plurality of data elements invoked by a workload during execution on the platform, prioritizing a list of the plurality of data elements based on the access metrics associated with corresponding ones of the plurality of data elements, and reallocating a first one of the plurality of data elements from the primary memory to the secondary memory based on the priority of the first one of the plurality of memory elements.

Abstract: Methods, articles of manufacture, and apparatus are disclosed to manage workload memory allocation. An example method includes identifying a primary memory and a secondary memory associated with a platform, the secondary memory having first performance metrics different from second performance metrics of the primary memory, identifying access metrics associated with a plurality of data elements invoked by a workload during execution on the platform, prioritizing a list of the plurality of data elements based on the access metrics associated with corresponding ones of the plurality of data elements, and reallocating a first one of the plurality of data elements from the primary memory to the secondary memory based on the priority of the first one of the plurality of memory elements.

Abstract: Methods, articles of manufacture, and apparatus are disclosed to manage workload memory allocation. An example apparatus includes a workload controller to log instances of access to data records in a log, the workload controller to identify, from the log, a first set of the data records to be migrated to a first memory and a second set of the data records to be migrated to a second memory based on frequencies at which the data records were accessed during a runtime, and a memory manager to migrate the first set of data records to the first memory, and migrate the second set of data records to the second memory.

Abstract: Methods, articles of manufacture, and apparatus are disclosed to manage workload memory allocation. An example apparatus includes a workload controller to log instances of access to data records in a log, the workload controller to identify, from the log, a first set of the data records to be migrated to a first memory and a second set of the data records to be migrated to a second memory based on frequencies at which the data records were accessed during a runtime, and a memory manager to migrate the first set of data records to the first memory, and migrate the second set of data records to the second memory.

Abstract: Methods, articles of manufacture, and apparatus are disclosed to manage workload memory allocation. An example apparatus includes a workload controller to log instances of access to data records in a log, the workload controller to identify, from the log, a first set of the data records to be migrated to a first memory and a second set of the data records to be migrated to a second memory based on frequencies at which the data records were accessed during a runtime, and a memory manager to migrate the first set of data records to the first memory, and migrate the second set of data records to the second memory.

Abstract: Methods, articles of manufacture, and apparatus are disclosed to manage workload memory allocation. An example apparatus includes a workload controller to log instances of access to data records in a log, the workload controller to identify, from the log, a first set of the data records to be migrated to a first memory and a second set of the data records to be migrated to a second memory based on frequencies at which the data records were accessed during a runtime, and a memory manager to migrate the first set of data records to the first memory, and migrate the second set of data records to the second memory.

Abstract: Methods, articles of manufacture, and apparatus are disclosed to manage workload memory allocation. An example method includes identifying a primary memory and a secondary memory associated with a platform, the secondary memory having first performance metrics different from second performance metrics of the primary memory, identifying access metrics associated with a plurality of data elements invoked by a workload during execution on the platform, prioritizing a list of the plurality of data elements based on the access metrics associated with corresponding ones of the plurality of data elements, and reallocating a first one of the plurality of data elements from the primary memory to the secondary memory based on the priority of the first one of the plurality of memory elements.

Abstract: A computer-implemented method and a corresponding computer system for emulation of Extended Memory Semantics (EMS) operations. The method and system include obtaining a set of computer instructions that include an EMS operation, converting the EMS operation into a corresponding atomic memory operation (AMO), and executing the AMO on at least one processor of a computer.

Abstract: Methods, articles of manufacture, and apparatus are disclosed to manage workload memory allocation. An example method includes identifying a primary memory and a secondary memory associated with a platform, the secondary memory having first performance metrics different from second performance metrics of the primary memory, identifying access metrics associated with a plurality of data elements invoked by a workload during execution on the platform, prioritizing a list of the plurality of data elements based on the access metrics associated with corresponding ones of the plurality of data elements, and reallocating a first one of the plurality of data elements from the primary memory to the secondary memory based on the priority of the first one of the plurality of memory elements.

Abstract: Methods, articles of manufacture, and apparatus are disclosed to manage workload memory allocation. An example method includes identifying a primary memory and a secondary memory associated with a platform, the secondary memory having first performance metrics different from second performance metrics of the primary memory, identifying access metrics associated with a plurality of data elements invoked by a workload during execution on the platform, prioritizing a list of the plurality of data elements based on the access metrics associated with corresponding ones of the plurality of data elements, and reallocating a first one of the plurality of data elements from the primary memory to the secondary memory based on the priority of the first one of the plurality of memory elements.

Abstract: A semiconductor processor is described. The semiconductor processor includes logic circuitry to perform a logical reduction instruction. The logic circuitry has swizzle circuitry to swizzle a vector's elements so as to form a swizzle vector. The logic circuitry also has vector logic circuitry to perform a vector logic operation on said vector and said swizzle vector.

Abstract: A method of performing vector operations on a semiconductor chip is described. The method includes performing a first vector instruction with a vector functional unit implemented on the semiconductor chip and performing a second vector instruction with the vector functional unit. The first vector instruction is a vector multiply add instruction. The second vector instruction is a vector leading zeros count instruction.

Abstract: Methods, articles of manufacture, and apparatus are disclosed to manage workload memory allocation. An example method includes identifying a primary memory and a secondary memory associated with a platform, the secondary memory having first performance metrics different from second performance metrics of the primary memory, identifying access metrics associated with a plurality of data elements invoked by a workload during execution on the platform, prioritizing a list of the plurality of data elements based on the access metrics associated with corresponding ones of the plurality of data elements, and reallocating a first one of the plurality of data elements from the primary memory to the secondary memory based on the priority of the first one of the plurality of memory elements.

Abstract: Methods, articles of manufacture, and apparatus are disclosed to manage workload memory allocation. An example method includes identifying a primary memory and a secondary memory associated with a platform, the secondary memory having first performance metrics different from second performance metrics of the primary memory, identifying access metrics associated with a plurality of data elements invoked by a workload during execution on the platform, prioritizing a list of the plurality of data elements based on the access metrics associated with corresponding ones of the plurality of data elements, and reallocating a first one of the plurality of data elements from the primary memory to the secondary memory based on the priority of the first one of the plurality of memory elements.

Abstract: Methods, articles of manufacture, and apparatus are disclosed to manage workload memory allocation. An example method includes identifying a primary memory and a secondary memory associated with a platform, the secondary memory having first performance metrics different from second performance metrics of the primary memory, identifying access metrics associated with a plurality of data elements invoked by a workload during execution on the platform, prioritizing a list of the plurality of data elements based on the access metrics associated with corresponding ones of the plurality of data elements, and reallocating a first one of the plurality of data elements from the primary memory to the secondary memory based on the priority of the first one of the plurality of memory elements.

Abstract: A vector functional unit implemented on a semiconductor chip to perform vector operations of dimension N is described. The vector functional unit includes N functional units. Each of the N functional units have logic circuitry to perform: a first integer multiply add instruction that presents highest ordered bits but not lowest ordered bits of a first integer multiply add calculation, and, a second integer multiply add instruction that presents lowest ordered bits but not highest ordered bits of a second integer multiply add calculation.