Abstract: A method described herein includes an act of receiving data that is indicative of predicted weather conditions for a particular geographic region, wherein the particular geographic region has an energy generation system therein, and wherein the energy generation system utilizes at least one renewable energy resource to generate electrical power. The method also includes the act of scheduling a computational workload for at least one computer in a data center based at least in part upon the data that is indicative of the predicted weather conditions for the particular geographic region.

Abstract: Exemplary reach-based explicit dataflow processors and related computer-readable media and methods. The reach-based explicit dataflow processors are configured to support execution of producer instructions encoded with explicit naming of consumer instructions intended to consume the values produced by the producer instructions. The reach-based explicit dataflow processors are configured to make available produced values as inputs to explicitly named consumer instructions as a result of processing producer instructions. The reach-based explicit dataflow processors support execution of a producer instruction that explicitly names a consumer instruction based on using the producer instruction as a relative reference point from the producer instruction.

Abstract: Operand-based reach explicit dataflow processors, and related methods and computer-readable media are disclosed. The operand-based reach explicit dataflow processors support execution of a producer instruction that explicitly names a target consumer operand of a consumer instruction in a consumer operand encoding namespace of the producer instruction. The produced value from execution of the producer instruction is provided or otherwise made available as an input to the named target consumer operand of the consumer instruction as a result of processing the producer instruction. The target consumer operand is encoded in the producer instruction as an operand target distance relative to the producer instruction. Instructions in an instruction stream between the producer instruction and the targeted consumer instruction that have no operands do not consume an operand reach namespace in the producer instructions.

Abstract: Efficient encoding of high fanout communication patterns in computer programming is achieved through utilization of producer and move instructions in an instruction set architecture (ISA) that supports direct instruction communication where a producer encodes identities of consumers of results directly within an instruction. The producer instructions may fully encode the targeted consumers with an explicit target distance or utilize compressed target encoding in which a field in the instruction provides a bit vector for one-hot encoding. A variety of move instructions target different numbers of consumers and may also utilize full or compressed target encoding. In consumer paths where a producer is unable to target all consumers, a compiler may utilize various combination of producer and move instructions, using full and/or compressed target encoding to build a fanout tree that efficiently propagates the producer results to the all the targeted consumers.

Abstract: Operand-based reach explicit dataflow processors, and related methods and computer-readable media are disclosed. The operand-based reach explicit dataflow processors support execution of a producer instruction that explicitly names a target consumer operand of a consumer instruction in a consumer operand encoding namespace of the producer instruction. The produced value from execution of the producer instruction is provided or otherwise made available as an input to the named target consumer operand of the consumer instruction as a result of processing the producer instruction. The target consumer operand is encoded in the producer instruction as an operand target distance relative to the producer instruction. Instructions in an instruction stream between the producer instruction and the targeted consumer instruction that have no operands do not consume an operand reach namespace in the producer instructions.

Abstract: A method described herein includes an act of receiving data that is indicative of predicted weather conditions for a particular geographic region, wherein the particular geographic region has an energy generation system therein, and wherein the energy generation system utilizes at least one renewable energy resource to generate electrical power. The method also includes the act of scheduling a computational workload for at least one computer in a data center based at least in part upon the data that is indicative of the predicted weather conditions for the particular geographic region.

Abstract: Exemplary reach-based explicit dataflow processors and related computer-readable media and methods. The reach-based explicit dataflow processors are configured to support execution of producer instructions encoded with explicit naming of consumer instructions intended to consume the values produced by the producer instructions. The reach-based explicit dataflow processors are configured to make available produced values as inputs to explicitly named consumer instructions as a result of processing producer instructions. The reach-based explicit dataflow processors support execution of a producer instruction that explicitly names a consumer instruction based on using the producer instruction as a relative reference point from the producer instruction.

Abstract: A method described herein includes an act of receiving data that is indicative of predicted weather conditions for a particular geographic region, wherein the particular geographic region has an energy generation system therein, and wherein the energy generation system utilizes at least one renewable energy resource to generate electrical power. The method also includes the act of scheduling a computational workload for at least one computer in a data center based at least in part upon the data that is indicative of the predicted weather conditions for the particular geographic region.

Abstract: A method described herein includes an act of receiving data that is indicative of predicted weather conditions for a particular geographic region, wherein the particular geographic region has an energy generation system therein, and wherein the energy generation system utilizes at least one renewable energy resource to generate electrical power. The method also includes the act of scheduling a computational workload for at least one computer in a data center based at least in part upon the data that is indicative of the predicted weather conditions for the particular geographic region.

Abstract: A method described herein includes an act of receiving data that is indicative of predicted weather conditions for a particular geographic region, wherein the particular geographic region has an energy generation system therein, and wherein the energy generation system utilizes at least one renewable energy resource to generate electrical power. The method also includes the act of scheduling a computational workload for at least one computer in a data center based at least in part upon the data that is indicative of the predicted weather conditions for the particular geographic region.

Abstract: A system is described herein that includes a predictor component that predicts accesses to portions of asymmetric memory pools in a computing system by a virtual machine, wherein the asymmetric memory pools comprise a first memory and a second memory, and wherein performance characteristics of the first memory are non-identical to performance of the second memory. The system also includes a memory management system that allocates portions of the first memory to the virtual machine based at least in part upon the accesses to the asymmetric memory pools predicted by the predictor component.

Abstract: A method described herein includes an act of receiving data that is indicative of predicted weather conditions for a particular geographic region, wherein the particular geographic region has an energy generation system therein, and wherein the energy generation system utilizes at least one renewable energy resource to generate electrical power. The method also includes the act of scheduling a computational workload for at least one computer in a data center based at least in part upon the data that is indicative of the predicted weather conditions for the particular geographic region.

Abstract: A system is described herein that includes a predictor component that predicts accesses to portions of asymmetric memory pools in a computing system by a virtual machine, wherein the asymmetric memory pools comprise a first memory and a second memory, and wherein performance characteristics of the first memory are non-identical to performance of the second memory. The system also includes a memory management system that allocates portions of the first memory to the virtual machine based at least in part upon the accesses to the asymmetric memory pools predicted by the predictor component.

Abstract: Embodiments of the present invention provide a class of computer architectures generally referred to as lightweight multi-threaded architectures (LIMA). Other embodiments may be described and claimed.