Qualcomm Incorporated

Prasanna Kumar Balasundaram

Suresh Kumar Venkumahanti

Louis Achille Giannini

Robert Allan Lester

Robert Shuicheong Chan

A system and method to select a packet format based on a number of executed threads is disclosed. In a particular embodiment, a method includes determining, at a multi-threaded processor, a number of threads of a plurality of threads executing during a time period. A packet format is determined from a plurality of formats based at least in part on the determined number of threads. Data associated with execution of an instruction by a particular thread is stored in accordance with the selected format in a memory (e.g., a buffer).

System and method to select a packet format based on a number of executed threads

Systems and method for embedded trace macrocell (ETM) devices configured to dynamically interleave architecture/program tracing with microarchitecture/hardware tracing. An ETM device includes logic to enable interleaved program tracing and hardware state sampling. A core interface is configured to receive program trace and hardware state information of a microprocessor and a combining module is configured to interleave the program trace and hardware state information. A packet generation module may be configured to packetize the program trace and hardware state information into packets at operational speeds of the microprocessor.

Interleaved architecture tracing and microarchitecture tracing

Methods, apparatuses, and computer-readable storage media are disclosed for reducing power by reducing hardware-thread toggling in a multi-processor. In a particular embodiment, a method is disclosed that includes collecting data from a plurality of software threads being processed by a processor, where the data for each of the events includes a value of an associated clock cycle counter upon occurrence of the event. Data is correlated for the events occurring for each of the plurality of threads by starting each of a plurality of clock cycle counters associated with the software threads at a common time. Alternatively, data is correlated for the events by logging a synchronizing event within each of the plurality of software threads.

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San Diego, CA, United States of America

Prasanna Kumar Balasundaram