Microsoft Technology Licensing, LLC

Paul Maybee

Bimal Kumar Mehta

Sanjib Saha

Lee B Graber

Yossi Levanoni

Daniel Moth

Eldar Azerovich Musayev

Kevin Bowen Smith

Paul F Ringseth

Satish Ramchandra Thatte

Johannes Klein

Balasubramanian Sriram

Anandhi Somasekaran

Johan Marien

Nikhil Kothari

Israel Hilerio

Akash Jeevan Sagar

Brian Robert Crawford

Michael James Harder

Gregg Bernard Miskelly

Andres Sanabria

Balinder Malhi

Siunie A Sutjahjo

John A Cunningham

Wei-Lun Lo

Constantin Mihai

Sriram Balasubramanian

Allen Zhang

Donald James McCrady

Jean-Emile Elien

John Lee Rapp

Eric Stanfield Leese

Feng Yuan

Roger Wolff

Maria K Blees

Daniel Demetris George Moth

Anitha Panapakkam

Alexander Dadjomov

A system and method of using metrics to control throttling and swapping in a message processing system is provided. A workload status of a message processing system is determined, and the system polls for a new message according to the workload status. The message processing system identifies a blocked instance and calculates an expected idle time for the blocked instance. The system dehydrates the blocked instance if the expected idle time exceeds a predetermined threshold.

Use of metrics to control throttling and swapping in a message processing system

Extensions to a debugger are identified in a debugger database which is read automatically when the debugger loads. The debugger watches for trigger events in its execution environment and optionally for load conditions in a debuggee program's internal state. If a trigger event occurs and a load condition is met, then the debugger automatically loads an extension for use. Some extensions provide debugging routines that are specifically designed to support debugging of applications which use a specific programming model.

Automatic model-specific debugger extensions

Systems and methods that implement interactivity as part of a workflow itself. Data is passed in and out of the workflow to form an interactive workflow, via employing an interactive activity component. Such interactive activity component models suspension points within a workflow definition, wherein user input and associated interaction can be supplied to the workflow during various interactivity breaks that request user input. Such an arrangement enables a controlled/synchronous data exchange between the workflow and a host application associated therewith.

Modeling user input and interaction in workflow based applications

Use of metrics to control throttling and swapping in a message processing

The present disclosure simplifies programming debugging by dynamically injecting debugger compiled instrumentation into the debuggee process such that the debuggee process executes the instrumentation without executing the debugger. In one example method, the debugger controls compiling a description of the instrumentation as an instrumentation method. The debugger can then write the instrumentation method into the debuggee. The debuggee can save the state of a target method of the debuggee process at a predetermined location. The debuggee process calls the instrumentation method from the debuggee. In addition, the state of the target method can be restored and the resumed from the predetermined location after the instrumentation method executes.

Program debugging with dynamically inserted instrumentation

The display of a debugging interface for use with parallel computing. When a break state has been entered in a particular code context (such as a method) by a particular execution context (such as a thread), related execution contexts are found that were also executing in the particular code context. While in the break state, multiple expressions are then evaluated for each of the execution contexts. The results are then displayed with perhaps navigation controls that allow the results to be efficiently navigated.

Display of data from parallel programming contexts

The debugging of a program in a data parallel environment. A connection is established between a debugging module and a process of the data parallel environment. The connection causes the data parallel environment to notify the debugging module of certain events as they occur in the execution of the process. Upon notification of such an event, the process execution is paused, and the debugging module may query the data parallel environment for information regarding the process at the device independent virtual machine layer. Upon completion of this querying, the process may then resume execution. This may occur repeatedly if multiple events are encountered.

Debugging in data parallel computations

The debugging of a kernel in a data parallel environment. A debugger engine interfaces with a data parallel environment that is running one or more data parallel kernels through a first interface. For each of at least one of the one or more kernels, a program object is formulated that abstractly represents the data parallel kernel including data parallel functionality of the kernel. The program object has a second interface that allows information regarding the kernel to be discovered by the debugger user interface module.

Data parallelism aware debugging

An XLANG/s compiler detects convoy scenarios during compilation and generates runtime directives to correctly correlate incoming messages with business process instances. A convoy scenario, present in event driven processes, is defined by a correlation set initialized during a receive operation which is provided to a subsequent receive operation. The compiler detects those convoy scenarios by analyzing the control and dataflow of a XLANG/s program. Three convoy patterns are distinguished: (1) activation convoys, (2) uniform sequential convoys, and (3) non-uniform sequential convoys. XLANG/s allows declarative descriptions of convoy scenarios without requiring an understanding of the low-level details supporting their correct execution. Convoy scenarios are processed by statically analyzing a written workflow application to deduce the nature and type of convoy scenarios used by the application. Information is extracted at compile time to support the runtime infrastructure. The runtime infrastructure is tightly integrated with the underlying correlation and subscription evaluation framework.

Efficient processing of a convoy workflow scenario in a message driven process

Visual representations of multiple call stacks in a parallel programming system include a stack segments graph constructed by coalescing data from multiple stacks. The graph has nodes that represent stack segments and has arcs between adjacent segments. Similar stack frames are represented by the same node. In a stack prefix view of the graph, arcs are directed from a node representing stack frames to a node representing subsequently executed stack frames. In a method-centered view, an arc is shown between a node representing stack frames of a selected method and a node representing adjacent stack frames. The graph can be based on call stacks of all tasks or all threads, or based on call stacks of tasks or threads flagged by a user. Stack frame, thread, and/or task details are also displayed.

Simultaneously displaying multiple call stacks in an interactive debugger

Launching a debugging process. A method includes at a compute node on a cluster private network, receiving a debug job via a scheduler of a head node from a client on a public network. The head node is connected to both the cluster private network and the public network. The public network is external to the cluster private network. The method further includes beginning processing the debug job, and as a result initiating debugging by starting one or more debugger remote agents at the compute node. The method further includes beginning processing a user job in the presence of the started debugger remote agents at the compute node. The client is informed that the one or more debugger remote agents are ready to debug the user job. A debugger client at the client is connected to the one or more debugger remote agents.

Debugger launch and attach on compute clusters

User interface technologies for viewing the state of threads of a target parallel application, such as a massively parallel application intended to run on a GPGPU system, during debugging of the target parallel application are disclosed. The target parallel application includes a kernel, and the kernel includes a set of threads. Coalesced thread information of the threads is presented with the user interface technologies based on user-controllable criteria.

Debugger presentation of parallel application threads

A system and method of processing a message in an asynchronous architecture is provided. In the method, a determination is made that a response to a message sent by an instance of software code is to be received, where the response indicates whether the message succeeded or failed. Another determination is made as to whether the response has been received. If the response has not been received, the instance of the software code is stored in memory, thereby suspending the instance. The response is received, the instance resumed and the response is processed.

Handling a delivery failure as a program exception in a distributed asynchronous architecture

Technology is described for debugging in a multi-processor environment. An example system can include a plurality of process icons representing processes executing on compute nodes. A plurality of relationship arc icons between the process icons can represent messages being sent between source processes and destination processes on the compute nodes. A tabular display control can have rows to display attributes for relationship arc icons representing the messages being sent. In addition, a grouping module can be used to identify groups of messages that are related and to highlight relationship arc icons which are part of a group.

Debugging in a multi-processing environment by providing debugging information on computer process nodes and messages in a GUI

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Paul Maybee