Space efficient conservative garbage collection
PLDI '93 Proceedings of the ACM SIGPLAN 1993 conference on Programming language design and implementation
The measured cost of conservative garbage collection
Software—Practice & Experience
Time and space profiling for non-strict, higher-order functional languages
POPL '95 Proceedings of the 22nd ACM SIGPLAN-SIGACT symposium on Principles of programming languages
Lag, drag, void and use—heap profiling and space-efficient compilation revisited
Proceedings of the first ACM SIGPLAN international conference on Functional programming
Computer organization and design (2nd ed.): the hardware/software interface
Computer organization and design (2nd ed.): the hardware/software interface
Revised Report on the Algorithmic Language Scheme
Higher-Order and Symbolic Computation
Generational Garbage Collection without Temporary Space Leaks for Lazy Functional Languages
IWMM '95 Proceedings of the International Workshop on Memory Management
Profiling Lazy Functional Programs
Proceedings of the 1992 Glasgow Workshop on Functional Programming
Heap Profiling for Space Efficiency
Advanced Functional Programming, Second International School-Tutorial Text
Gprof: A call graph execution profiler
SIGPLAN '82 Proceedings of the 1982 SIGPLAN symposium on Compiler construction
Bee: an integrated development environment for the Scheme programming language
Journal of Functional Programming
Heap profiling for space-efficient Java
Proceedings of the ACM SIGPLAN 2001 conference on Programming language design and implementation
Bounding space usage of conservative garbage collectors
POPL '02 Proceedings of the 29th ACM SIGPLAN-SIGACT symposium on Principles of programming languages
DrScheme: a programming environment for Scheme
Journal of Functional Programming
Space efficient conservative garbage collection
ACM SIGPLAN Notices - Best of PLDI 1979-1999
Cork: dynamic memory leak detection for garbage-collected languages
Proceedings of the 34th annual ACM SIGPLAN-SIGACT symposium on Principles of programming languages
Garbage collection in the next C++ standard
Proceedings of the 2009 international symposium on Memory management
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Memory is the performance bottleneck of modern architectures. Keeping memory consumption as low as possible enables fast and unobtrusive applications. But it is not easy to estimate the memory use of programs implemented in functional languages, due to both the complex translations of some high level constructs, and the use of automatic memory managers.To help understand memory allocation behavior of Scheme programs, we have designed two complementary tools. The first one reports on frequency of allocation, heap configurations and on memory reclamation. The second tracks down memory leaks1. We have applied these tools to our Scheme compiler, the largest Scheme program we have been developing. This has allowed us to drastically reduce the amount of memory consumed during its bootstrap process, without requiring much development time.Development tools will be neglected unless they are both conveniently accessible and easy to use. In order to avoid this pitfall, we have carefully designed the user interface of these two tools. Their integration into a real programming environment for Scheme is detailed in the paper.