Details
| Original language | English |
|---|---|
| Title of host publication | Proceedings |
| Subtitle of host publication | 2024 IEEE 24th International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2024 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 67-76 |
| Number of pages | 10 |
| ISBN (electronic) | 9798350395662 |
| ISBN (print) | 979-8-3503-9567-9 |
| Publication status | Published - 8 Oct 2024 |
| Event | 24th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2024 - Philadelphia, United States Duration: 6 May 2024 → 9 May 2024 |
Publication series
| Name | IEEE International Symposium on Cluster, Cloud and Internet Computing |
|---|---|
| ISSN (Print) | 2376-4414 |
| ISSN (electronic) | 2993-2114 |
Abstract
Although memory allocation is well-studied, it is far from being a solved problem. There exist many allocators, each offering varied performance depending on the underlying workload. With workloads becoming ever more complex, practitioners need to take difficult decisions for the performance tuning of memory allocation: which allocators to choose and how to tweak their knobs are legitimate questions.In this article, we take a deep look at memory allocators and propose Brug, an adaptive memory allocator that builds upon the strengths of all existing allocators and discards their weaknesses. Brug can help programmers choose the suitable allocator for their applications or even for individual data structures and functions within applications, allowing for different allocators within the same program. Brug also offers an auto-tuner to minimize developer decision-making.Brug comes in two flavors: (1) Rust-based library that can be added to modern Rust code bases, helping in allocation and re-allocation performance and diagnosis. (2) C-based library that can be dynamically linked at runtime for existing legacy programs to optimize their performance. Brug was deployed with industry standard-grade frameworks, such as Apache Arrow, Wasmtime WebAssembly virtual machine, and Redis. Our experiments show that Brug can improve performance in all types of applications and help developers toward taking otherwise difficult decisions. Brug consistently improves application execution time.
ASJC Scopus subject areas
- Computer Science(all)
- Computer Networks and Communications
- Computer Science(all)
- Hardware and Architecture
- Decision Sciences(all)
- Information Systems and Management
- Engineering(all)
- Safety, Risk, Reliability and Quality
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Proceedings : 2024 IEEE 24th International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2024. Institute of Electrical and Electronics Engineers Inc., 2024. p. 67-76 (IEEE International Symposium on Cluster, Cloud and Internet Computing).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Brug
T2 - 24th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2024
AU - Weng, Weikang
AU - Uta, Alexandru
AU - Rellermeyer, Jan S.
PY - 2024/10/8
Y1 - 2024/10/8
N2 - Although memory allocation is well-studied, it is far from being a solved problem. There exist many allocators, each offering varied performance depending on the underlying workload. With workloads becoming ever more complex, practitioners need to take difficult decisions for the performance tuning of memory allocation: which allocators to choose and how to tweak their knobs are legitimate questions.In this article, we take a deep look at memory allocators and propose Brug, an adaptive memory allocator that builds upon the strengths of all existing allocators and discards their weaknesses. Brug can help programmers choose the suitable allocator for their applications or even for individual data structures and functions within applications, allowing for different allocators within the same program. Brug also offers an auto-tuner to minimize developer decision-making.Brug comes in two flavors: (1) Rust-based library that can be added to modern Rust code bases, helping in allocation and re-allocation performance and diagnosis. (2) C-based library that can be dynamically linked at runtime for existing legacy programs to optimize their performance. Brug was deployed with industry standard-grade frameworks, such as Apache Arrow, Wasmtime WebAssembly virtual machine, and Redis. Our experiments show that Brug can improve performance in all types of applications and help developers toward taking otherwise difficult decisions. Brug consistently improves application execution time.
AB - Although memory allocation is well-studied, it is far from being a solved problem. There exist many allocators, each offering varied performance depending on the underlying workload. With workloads becoming ever more complex, practitioners need to take difficult decisions for the performance tuning of memory allocation: which allocators to choose and how to tweak their knobs are legitimate questions.In this article, we take a deep look at memory allocators and propose Brug, an adaptive memory allocator that builds upon the strengths of all existing allocators and discards their weaknesses. Brug can help programmers choose the suitable allocator for their applications or even for individual data structures and functions within applications, allowing for different allocators within the same program. Brug also offers an auto-tuner to minimize developer decision-making.Brug comes in two flavors: (1) Rust-based library that can be added to modern Rust code bases, helping in allocation and re-allocation performance and diagnosis. (2) C-based library that can be dynamically linked at runtime for existing legacy programs to optimize their performance. Brug was deployed with industry standard-grade frameworks, such as Apache Arrow, Wasmtime WebAssembly virtual machine, and Redis. Our experiments show that Brug can improve performance in all types of applications and help developers toward taking otherwise difficult decisions. Brug consistently improves application execution time.
UR - http://www.scopus.com/inward/record.url?scp=85207883585&partnerID=8YFLogxK
U2 - 10.1109/CCGrid59990.2024.00017
DO - 10.1109/CCGrid59990.2024.00017
M3 - Conference contribution
AN - SCOPUS:85207883585
SN - 979-8-3503-9567-9
T3 - IEEE International Symposium on Cluster, Cloud and Internet Computing
SP - 67
EP - 76
BT - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 6 May 2024 through 9 May 2024
ER -