Memory Pools
Memory Pools is a memory management technique that preallocates a fixed collection of memory blocks of uniform size to enable efficient allocation and deallocation, distinguishing it from dynamic memory allocation strategies by reducing fragmentation and overhead.
52
Publications
3.2K
Citations
243
Authors
108
Institutions
Publications per year
2017–2026
18
Variants
Memory Pool
Parents
52
1–5 of 52
243
4
h-index
4
h-index
2
h-index
2
h-index
2
h-index
1–5 of 243
108
Trudeau Institute
Saranac Lake, United States
4 h-index
18 publications
2.1K citations
University of Illinois Urbana-Champaign
Urbana, United States
4 h-index
10 publications
1.1K citations
University College London
London, United Kingdom
3 h-index
12 publications
2.4K citations
University of Oxford
Oxford, United Kingdom
3 h-index
9 publications
419 citations
UConn Health
Farmington, United States
3 h-index
12 publications
1.8K citations
Center for Cancer Research
Bethesda, United States
2 h-index
7 publications
1.5K citations

The University of Melbourne
Melbourne, Australia
2 h-index
10 publications
484 citations
Intel (United States)
Santa Clara, United States
2 h-index
2 publications
72 citations
1–8 of 108
JI · 9 publications · 848 citations
9
h-index
3 publications · 88 citations
3
h-index
2 publications · 83 citations
2
h-index
JCI · 2 publications · 441 citations
2
h-index
PNAS · 2 publications · 223 citations
2
h-index
1–5