Thu 29 Oct 2015 13:52 - 14:15 at Grand Station 1 - 7. Runtime Chair(s): Michael Pradel

We demonstrate that general-purpose memory allocation involving many threads on many cores can be done with high performance, multicore scalability, and low memory consumption. For this purpose, we have designed and implemented scalloc, a concurrent allocator that generally performs and scales in our experiments better than other allocators while using less memory, and is still competitive otherwise. The main ideas behind the design of scalloc are: uniform treatment of small and big objects through so-called virtual spans, efficiently and effectively reclaiming free memory through fast and scalable global data structures, and constant-time (modulo synchronization) allocation and deallocation operations that trade off memory reuse and spatial locality without being subject to false sharing.

Thu 29 Oct

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13:30 - 15:00
7. RuntimeOOPSLA at Grand Station 1
Chair(s): Michael Pradel TU Darmstadt, Germany
13:30
22m
Talk
Accurate Profiling in the Presence of Dynamic CompilationOOPSLA Artifact
OOPSLA
Yudi Zheng University of Lugano, Lubomír Bulej Università della Svizzera italiana, Walter Binder University of Lugano
DOI
13:52
22m
Talk
Fast, Multicore-Scalable, Low-Fragmentation Memory Allocation through Large Virtual Memory and Global Data StructuresOOPSLA Artifact
OOPSLA
Martin Aigner University of Salzburg, Austria, Christoph Kirsch University of Salzburg, Austria, Michael Lippautz University of Salzburg, Austria, Ana Sokolova University of Salzburg, Austria
DOI Pre-print Media Attached
14:15
22m
Talk
Probability Type Inference for Flexible Approximate Programming
OOPSLA
Brett Boston Massachusetts Institute of Technology, USA, Adrian Sampson Cornell University & Microsoft Research, Dan Grossman University of Washington, USA, Luis Ceze University of Washington, USA
Pre-print Media Attached
14:37
22m
Talk
Cross-Layer Memory Management for Managed Language Applications
OOPSLA
Michael Jantz University of Tennessee, USA, Forrest Robinson University of Kansas, USA, Prasad Kulkarni University of Kansas, Kshitij Doshi Intel, USA
DOI Media Attached