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| Content Provider | ACM Digital Library |
|---|---|
| Author | Koesterke, Lars Arora, Ritu |
| Abstract | The process of code adaptation to take advantage of the latest innovations in a supercomputing platform begins with learning about the details of the platform's underlying hardware. It can be challenging for many users to spend time and effort in developing an understanding of the innovative features in a supercomputing platform - such as deep memory hierarchies - and to harness their maximum possible performance by manually modernizing their applications. To mitigate the aforementioned challenge, we are developing an Interactive Code Adaptation Tool (ICAT). In its current form, ICAT can assist the users in modifying, compiling, and optimally running their applications on the latest HPC platforms that are equipped with the Intel Knights Landing (KNL) processors. ICAT detects a given application's characteristics such as memory usage pattern, type of memory allocation, and execution time. Depending upon the application's characteristics, it advises the user on optimal ways to take advantage of the KNL processor and its memory-hierarchy. |
| Starting Page | 1 |
| Ending Page | 8 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781450352727 |
| DOI | 10.1145/3093338.3093352 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2017-07-09 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Interactive code adaptation Intel knights landing Clustering advisor Advanced vectorization Code migration Memory advisor Code modernization Memory optimization |
| Content Type | Text |
| Resource Type | Article |
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