Fast, multicore-scalable, low-fragmentation memory allocation through large virtual memory and global data structures

M Aigner, CM Kirsch, M Lippautz, A Sokolova�- ACM SIGPLAN Notices, 2015 - dl.acm.org
M Aigner, CM Kirsch, M Lippautz, A Sokolova
ACM SIGPLAN Notices, 2015dl.acm.org
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�…
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.
ACM Digital Library
Showing the best result for this search. See all results