Large scale applications developers have many tools at their disposal to optimize and verify their software. One of which is Caliper, an annotation-based performance measurement tool. Caliper is very powerful and versatile, however, can be cumbersome to apply to complex applications. To solve this problem, we have created a framework to automatically prepare an application for performance measurement. This framework provides a layer of abstraction between the user and the source-code annotations and library linking. As a result, the process of measuring the performance of an application can be fully automated away – a huge step towards automatic software optimization
To reduce latency and increase bandwidth to memory, modern microprocessors are often designed with d...
Performance clearly matters to users. The most common software update on the AppStore *by far* is "B...
To reduce latency and increase bandwidth to memory, modern microprocessors are designed with deep me...
Understanding the performance of software is complicated. For several performance metrics, in additi...
Performance is the critical feature in the design and productivity of software systems. A key to imp...
Modern supercomputers deliver large computational power, but it is difficult for an application to e...
For industrial systems performance, it is desired to keep the IT infrastructure competitive through ...
Monitoring of a software system provides insights into its runtime behavior, improving system analys...
Applications may have unintended performance problems in spite of compiler optimizations, because of...
Application-level monitoring of continuously operating software systems provides insights into their...
<p>Application-level monitoring of continuously operating software systems provides insights into th...
The many configuration options of modern applications make it difficult for users to select a perfor...
Abstract—A typical application tuning cycle repeats the fol-lowing three steps in a loop: performanc...
Performance bugs are frequently observed in commodity soft-ware. While profilers or source code-base...
Application-level monitoring of continuously operating software systems provides insights into their...
To reduce latency and increase bandwidth to memory, modern microprocessors are often designed with d...
Performance clearly matters to users. The most common software update on the AppStore *by far* is "B...
To reduce latency and increase bandwidth to memory, modern microprocessors are designed with deep me...
Understanding the performance of software is complicated. For several performance metrics, in additi...
Performance is the critical feature in the design and productivity of software systems. A key to imp...
Modern supercomputers deliver large computational power, but it is difficult for an application to e...
For industrial systems performance, it is desired to keep the IT infrastructure competitive through ...
Monitoring of a software system provides insights into its runtime behavior, improving system analys...
Applications may have unintended performance problems in spite of compiler optimizations, because of...
Application-level monitoring of continuously operating software systems provides insights into their...
<p>Application-level monitoring of continuously operating software systems provides insights into th...
The many configuration options of modern applications make it difficult for users to select a perfor...
Abstract—A typical application tuning cycle repeats the fol-lowing three steps in a loop: performanc...
Performance bugs are frequently observed in commodity soft-ware. While profilers or source code-base...
Application-level monitoring of continuously operating software systems provides insights into their...
To reduce latency and increase bandwidth to memory, modern microprocessors are often designed with d...
Performance clearly matters to users. The most common software update on the AppStore *by far* is "B...
To reduce latency and increase bandwidth to memory, modern microprocessors are designed with deep me...