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Sun 18 Jun 2017 14:30 - 15:00 at Vertex WS208 - Session 3

Adaptively optimising virtual machines (VMs) have found widespread usage, which unite many advantages, including good performance and platform independence. Alas, due to high implementation efforts only a few VMs can deliver excellent performance. Recent research has focused on language implementation frameworks, which promise good trade-offs between performance and implementation efforts, including the idea of meta-tracing. However, meta-traced VMs currently have bad warmup characteristics – meaning that the time taken to reach peak performance is high. In my research I want to develop and evaluate novel techniques to tackle the issue of slow warmup.

Sun 18 Jun
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13:30 - 15:00: ECOOP Doctoral Symposium - Session 3 at Vertex WS208
ecoop-2017-Doctoral-Symposium13:30 - 14:00
Sarah NadiUniversity of Alberta
ecoop-2017-Doctoral-Symposium14:00 - 14:30
Praveen NarayananIndiana University, USA
ecoop-2017-Doctoral-Symposium14:30 - 15:00
Jasper SchulzKing's College London