Abstract: A method includes receiving an input data at a floating point arithmetic operating unit, wherein the floating point operating unit is configured to perform a floating point arithmetic operation on the input data. The method also includes determining whether the received input data is positive infinity or negative infinity prior to performing the floating point arithmetic operation. The method further includes converting a value of the received input data to a modified value prior to performing the floating point arithmetic operation if the received input data is positive infinity or negative infinity.

Abstract: A method includes receiving an input data at a floating point arithmetic operating unit, wherein the floating point operating unit is configured to perform a floating point arithmetic operation on the input data. The method includes determining whether the received input data is a qnan (quiet not-a-number) or whether the received input data is an snan (signaling not-a-number) prior to performing the floating point arithmetic operation. The method also includes converting a value of the received input data to a modified value prior to performing the floating point arithmetic operation if the received input data is either qnan or snan, wherein the converting eliminates special handling associated with the floating point arithmetic operation on the input data being either qnan or snan.

Abstract: A method includes receiving an input data at a floating point arithmetic operating unit, wherein the floating point operating unit is configured to perform a floating point arithmetic operation on the input data to generate an output result. The method also includes determining whether the output result is going to cause a floating point hardware exception responsive to the floating point arithmetic operation on the input data. The method further includes converting a value of the output result to a modified value responsive to the determining that the output result is going to cause the floating point hardware exception, wherein the modified value eliminates the floating point hardware exception responsive to the floating point arithmetic operation on the input data.

Abstract: A method includes receiving a first input data and a second input data at a floating point arithmetic operating unit, wherein the first input data and the second input data are associated with operands of a floating point arithmetic operation respectively, wherein the floating point operating unit is configured to perform a floating point arithmetic operation on the first input data and the second input data. The method further includes determining whether the first input data is a qnan (quiet not-a-number) or whether the first input data is an snan (signaling not-a-number) prior to performing the floating point arithmetic operation. A value of the first input data is modified prior to performing the floating point arithmetic operation if the first input data is either qnan or snan, wherein the converting eliminates special handling associated with the floating point arithmetic operation on the first input data being either qnan or snan.

Abstract: A method includes receiving an input data at a FP arithmetic operating unit configured to perform a FP arithmetic operation on the input data. The method further includes determining whether the received input data generates a FP hardware exception responsive to the FP arithmetic operation on the input data, wherein the determining occurs prior to performing the FP arithmetic operation. The method also includes converting a value of the received input data to a modified value responsive to the determining that the received input data generates the FP hardware exception, wherein the converting eliminates generation of the FP hardware exception responsive to the FP arithmetic operation on the input data.

Abstract: A method includes receiving an input data at a FP arithmetic operating unit configured to perform a FP arithmetic operation on the input data. The method further includes determining whether the received input data generates a FP hardware exception responsive to the FP arithmetic operation on the input data, wherein the determining occurs prior to performing the FP arithmetic operation. The method also includes converting a value of the received input data to a modified value responsive to the determining that the received input data generates the FP hardware exception, wherein the converting eliminates generation of the FP hardware exception responsive to the FP arithmetic operation on the input data.

Abstract: A processing unit of an inference engine for machine learning (ML) includes a first data load steamer, a second data load streamer, an operator component, and a store streamer. The first data load streamer streams a first data stream from an on-chip memory (OCM) to the operator component. The second data load streamer streams a second data stream from the OCM to the operator component. The operator component performs a matrix operation on the first data stream and the second data stream. The store streamer receives a data output stream from the operator component and to store the data output stream in a buffer.

Abstract: A processing unit of an inference engine for machine learning (ML) includes a first data load steamer, a second data load streamer, an operator component, and a store streamer. The first data load streamer streams a first data stream from an on-chip memory (OCM) to the operator component. The second data load streamer streams a second data stream from the OCM to the operator component. The operator component performs a matrix operation on the first data stream and the second data stream. The store streamer receives a data output stream from the operator component and to store the data output stream in a buffer.

Abstract: Systems, apparatus, and method of monitoring synchronization in a distributed cache are described. In an exemplary embodiment, a first and second processing core process a first and second thread respectively. A first and second distributed cache slices store data for either or both of the first and second processing cores. A first and second core interface co-located with the first and second processing cores respectively maintain a finite state machine (FSM) to be executed in response to receiving a request from a thread of its co-located processing core to monitor a cache line in the distributed cache.

Abstract: Methods and apparatus relating to system-wide quiescence and per-thread transaction fence in a distributed caching agent are described. Some embodiments utilize messages, counters, and/or state machines that support system-wide quiescence and per-thread transaction fence flows. Other embodiments are also disclosed.

Abstract: A method and apparatus may provide for detecting a performance state transition in a processor core and bouncing a core snoop message on a shared interconnect ring in response to detecting the performance state transition. The core snoop message may be associated with the processor core, wherein a plurality of processor cores may be coupled to the shared interconnect ring via a distributed last level cache controller.

Abstract: Methods and apparatus relating to system-wide quiescence and per-thread transaction fence in a distributed caching agent are described. Some embodiments utilize messages, counters, and/or state machines that support system-wide quiescence and per-thread transaction fence flows. Other embodiments are also disclosed.

Abstract: A method and apparatus may provide for detecting a performance state transition in a processor core and bouncing a core snoop message on a shared interconnect ring in response to detecting the performance state transition. The core snoop message may be associated with the processor core, wherein a plurality of processor cores may be coupled to the shared interconnect ring via a distributed last level cache controller.

Abstract: Systems, apparatus, and method of monitoring synchronization in a distributed cache are described. In an exemplary embodiment, a first and second processing core process a first and second thread respectively. A first and second distributed cache slices store data for either or both of the first and second processing cores. A first and second core interface co-located with the first and second processing cores respectively maintain a finite state machine (FSM) to be executed in response to receiving a request from a thread of its co-located processing core to monitor a cache line in the distributed cache.