Abstract: A system comprising an accelerator circuit comprising an accelerator function unit to implement a first function, and one or more device feature header (DFH) circuits to provide attributes associated with the accelerator function unit, and a processor to retrieve the attributes of the accelerator function unit by traversing a device feature list (DFL) referencing the one or more DFH circuits, execute, based on the attributes, an application encoding the first function to cause the accelerator function unit to perform the first function.

Abstract: A system comprising an accelerator circuit comprising an accelerator function unit to implement a first function, and one or more device feature header (DFH) circuits to provide attributes associated with the accelerator function unit, and a processor to retrieve the attributes of the accelerator function unit by traversing a device feature list (DFL) referencing the one or more DFH circuits, execute, based on the attributes, an application encoding the first function to cause the accelerator function unit to perform the first function.

Abstract: There is disclosed in one example an accelerator apparatus, including: a programmable region capable of being programmed to provide an accelerator function unit (AFU); and a platform interface layer (PIL) to communicatively couple to the AFU via an intra-accelerator protocol, and to provide multiplexed communication with a processor via a plurality of platform interconnect interfaces, wherein the PIL is to provide abstracted communication services for the AFU to communicate with the processor.

Abstract: A technology for implementing a method for distributed memory operations. A method of the disclosure includes obtaining distributed channel information for an algorithm to be executed by a plurality of spatially distributed processing elements. For each distributed channel in the distributed channel information, the method further associates one or more of the plurality of spatially distributed processing elements with the distributed channel based on the algorithm.

Abstract: A system comprising an accelerator circuit comprising an accelerator function unit to implement a first function, and one or more device feature header (DFH) circuits to provide attributes associated with the accelerator function unit, and a processor to retrieve the attributes of the accelerator function unit by traversing a device feature list (DFL) referencing the one or more DFH circuits, execute, based on the attributes, an application encoding the first function to cause the accelerator function unit to perform the first function.

Abstract: A technology for implementing a method for distributed memory operations. A method of the disclosure includes obtaining distributed channel information for an algorithm to be executed by a plurality of spatially distributed processing elements. For each distributed channel in the distributed channel information, the method further associates one or more of the plurality of spatially distributed processing elements with the distributed channel based on the algorithm.

Abstract: Systems, methods, and apparatuses relating to a configurable spatial accelerator are described. In one embodiment, a processor includes a plurality of processing elements; and an interconnect network between the plurality of processing elements to receive an input of a dataflow graph comprising a plurality of nodes, wherein the dataflow graph is to be overlaid into the interconnect network and the plurality of processing elements with each node represented as a dataflow operator in the plurality of processing elements, and the plurality of processing elements is to perform an operation when an incoming operand set arrives at the plurality of processing elements. The processor also includes a streamer element to prefetch the incoming operand set from two or more levels of a memory system.

Abstract: A processing device for executing distributed memory operations using spatial processing units (SPU) connected by distributed channels is disclosed. A distributed channel may or may not be associated with memory operations, such as load operations or store operations. Distributed channel information is obtained for an algorithm to be executed by a group of spatially distributed processing elements. The group of spatially distributed processing elements can be connected to a shared memory controller. For each distributed channel in the distributed channel information, one or more of the group of spatially distributed processing elements may be associated with the distributed channel based on the algorithm. By associating the spatially distributed processing elements to a distributed channel, the functionality of the processing element can vary depending on the algorithm mapped onto the SPU.

Abstract: There is disclosed in one example an accelerator apparatus, including: a programmable region capable of being programmed to provide an accelerator function unit (AFU); and a platform interface layer (PIL) to communicatively couple to the AFU via an intra-accelerator protocol, and to provide multiplexed communication with a processor via a plurality of platform interconnect interfaces, wherein the PIL is to provide abstracted communication services for the AFU to communicate with the processor.

Abstract: Systems, methods, and apparatuses relating to a configurable spatial accelerator are described. In one embodiment, a processor includes a plurality of processing elements; and an interconnect network between the plurality of processing elements to receive an input of two dataflow graphs each comprising a plurality of nodes, wherein a first dataflow graph and a second dataflow graph are be overlaid into a first and second portion, respectively, of the interconnect network and a first and second subset, respectively, of the plurality of processing elements with each node represented as a dataflow operator in the plurality of processing elements, and the first and second subsets of the plurality of processing elements are to perform a first and second operation, respectively, when incoming first and second, respectively, operand sets arrive at the plurality of processing elements.

Abstract: Systems, methods, and apparatuses relating to a configurable spatial accelerator are described. In one embodiment, a processor includes a plurality of processing elements; and an interconnect network between the plurality of processing elements to receive an input of a dataflow graph comprising a plurality of nodes, wherein the dataflow graph is to be overlaid into the interconnect network and the plurality of processing elements with each node represented as a dataflow operator in the plurality of processing elements, and the plurality of processing elements is to perform an operation when an incoming operand set arrives at the plurality of processing elements. The processor also includes a streamer element to prefetch the incoming operand set from two or more levels of a memory system.

Abstract: A technology for implementing a method for distributed memory operations. A method of the disclosure includes obtaining distributed channel information for an algorithm to be executed by a plurality of spatially distributed processing elements. For each distributed channel in the distributed channel information, the method further associates one or more of the plurality of spatially distributed processing elements with the distributed channel based on the algorithm.

Abstract: A computer having an instruction pipeline and profile circuitry. The profile circuitry detects and records, without compiler assistance for execution profiling, profile information describing a sequence of events occurring in the instruction pipeline. The sequence includes every event occurring during a profiled execution interval that matches time-independent selection criteria of events to be profiled. The recording continues until a predetermined stop condition is reached. The profile circuitry detects the occurrence of a predetermined condition, after a non-profiled interval of execution, and then commences the profiled execution interval.

Abstract: A mechanism for executing computer instructions in parallel includes a compiler for generating and grouping instructions into a plurality of sets of instructions to be executed in parallel, each set having a unique identification. A computer system having a real state and a speculative state executes the sets in parallel, the computer system executing a particular set of instructions in the speculative state if the instructions of the particular set have dependencies which can not be resolved until the instructions are actually executed. The computer system generates speculative data while executing instructions in the speculative state. Logic circuits are provided to detect any exception conditions which occur while executing the particular set in the speculative state. If the particular set is subject to an exception condition, the instructions of the set are re-executed to resolve the exception condition, and to incorporate the speculative data in the real state of the computer system.

Abstract: Methods for handling exceptions caused by speculatively scheduled instructions or predicated instructions executed within a computer program are described. The method for speculatively scheduled instructions includes checking at a commit point of a speculatively scheduled instruction, a semaphore associated with the speculatively scheduled instruction and branching to an error handling routine if the semaphore is set. A set semaphore indicates that an exception occurred when the speculatively scheduled instruction was executed. For a predicated instruction the method includes checking a predicate of an eliminated branch and a semaphore associated with the speculative instruction at a commit point of the speculative instruction and branching to an error handling routine if the semaphore indicates that an exception occurred when said speculative instruction was executed, and the predicate is true, which indicates that said speculative instruction was properly executed.

Abstract: A method of compiling an application to reduce the occurrence of speculative exceptions is described. The method includes the steps of compiling the application to provide a speculation table and an executable file, and obtaining profile information about said compiled application using representative data sets. The compiler includes a scheduler unit for rearranging the order of the instructions in the application to provide optimal performance. The speculation table comprises a number of entries corresponding to the instructions of the application, each entry including a tag identifying the instruction and a semaphore indicating whether or not the instruction is likely to cause an exception. The executable file is run using a number of representative data sets to profile information identifying those instructions that result in exceptions, and the tag of the instruction is stored in a log file.

Abstract: Methods for handling exceptions caused by speculatively scheduled instructions or predicated instructions executed within a computer program are described. The method for speculatively scheduled instructions includes checking at a commit point of a speculatively scheduled instruction, a semaphore associated with the speculatively scheduled instruction and branching to an error handling routine in the semaphore is set. A set semaphore indicates that an exception occurred when the speculatively scheduled instruction was executed. For a predicated instruction the method includes checking a predicate of a eliminated branch and a semaphore associated with the speculative instruction at a commit point of the speculative instruction and branching to an error handing routine if the semaphore indicates that an exception occurred when the speculative instruction was executed, and the predicate is true, which indicates that the speculative instruction was properly executed.

Abstract: Methods for handling exceptions caused by speculatively scheduled instructions or predicated instructions executed within a computer program are described. The method for speculatively scheduled instructions includes checking at a commit point of a speculatively scheduled instruction, a semaphore associated with the speculatively scheduled instruction and branching to an error handling routine if the semaphore is set. A set semaphore indicates that an exception occurred when the speculatively scheduled instruction was executed. For a predicated instruction the method includes checking a predicate of an eliminated branch and a semaphore associated with the speculative instruction at a commit point of the speculative instruction and branching to an error handling routine if the semaphore indicates that an exception occurred when said speculative instruction was executed, and the predicate is true, which indicates that said speculative instruction was properly executed.

Abstract: There is provided a mechanism for propagating exception conditions in a computer system when instructions are subject to exception conditions. The apparatus includes a set of data registers for storing data manipulated by the instructions of the computer system, and a set of state registers for storing speculative states of data manipulated by the instructions, there being one state register associated with each data register. Furthermore, the apparatus includes a logic circuit, coupled to the set of state registers, for propagating the states from a source one of the state registers to a destination one of the state registers, if data stored in an associated source one of the data registers are used as a source for an associated destination one of data registers, and if data stored in the source data register were manipulated by a particular instruction subject to an exception condition.

Abstract: A compiler groups instructions into sets. The sets of instructions are related by data and control dependencies which are unresolvable by the compiler. Sets of instructions having unresolved dependencies are executed in a speculative state of the computer system under the assumption that an exception condition will not occur. However, if an exception condition does occur while executing a set of instructions in the speculative state, that exception condition is detected and the set of instructions is re-executed in a real state of the computer system to resolve the exception condition.