GJDuck GC Save

A lightweight conservative garbage collector for C/C++

Project README

GC

A lightweight conservative Garbage Collector (GC) for C/C++ on 64-bit CPUs.

The basic idea of this GC is as follows: during initialization the GC allocates (from the operating system) a very large 3072GB memory pool. This pool never shrinks nor grows, simplifying the overall collector design. Initially the pool is 100% virtual memory -- so there is no problem allocating such a large pool on 64bit systems. Physical memory is only committed to the pool on demand as it is allocated as used by the program. This simply uses the underlying demand-paging mechanism of the operating system.

The simplified memory model has some advantages, such as a significant simplification of the memory allocation and collection algorithms. This reduces the size and complexity of the collector, e.g. the main source file gc.c is less that 1,000SLOC. There are some additional benefits, such as optimized implementations some GC API functions, such as GC_size and GC_base.

Our implementation is currently only single-threaded. On the benchmarks we have tried, our collector is competitive with the more mature Boehm GC, and can be a lot faster for programs that make use of the optimized GC API functions.

Systems

Currently 64-bit Linux, MacOSX, and Windows are supported. The GC compiles with gcc (Linux/MacOSX) and mingw-64 (Windows).

Building

Our collector is written in gnu99, i.e., C99 with GNU extensions. To compile simply use gcc --std=gnu99 -c gc.c.

Caveats

Unlike the famous Boehm collector, our GC is missing a lot of features. There are some caveats to be aware of:

  • Only 64-bit CPUs are supported. This is a fundamental limitation of this kind of GC.
  • Automatic root discovery is not supported. Roots much be registered manually with GC_root().
  • No special support for atomic memory.
  • Not multi-threaded; only use for single-threaded programs.
  • Maximum allocation size is 255MB.
  • Allocation of /huge/ objects, i.e. > 1MB, is rounded up to the nearest MB boundary, which is not ideal. In the future we plan to fix this by recording the object size for huge allocations.
  • The Windows port was the most problematic. Windows artificially limits the usable virtual address space to a measly 8TB (presumably they thought 8TB ought to be enough for everybody?), and gets annoyed if you try to reserve too much of it. As a consequence, the memory pool is on Windows is limited to 1TB. This does not cause any problems for most applications.

About

This GC was designed and implemented by Gregory J. Duck. The official website is here:

http://www.comp.nus.edu.sg/~gregory/GC/

The main application for this GC is the SMCHR system:

http://www.comp.nus.edu.sg/~gregory/smchr/

The SMCHR system is a reasonably big project (>20,000 LOC). Since this GC design is so lightweight, it is reasonable to incorporate into the SMCHR source code directly, rather building it as a library and adding an external dependency. This is not generally feasible with the considerably larger Boehm collector.

The fast GC_size and GC_base operations have some useful applications, such as for runtime bounds checking of heap allocated objects. The memory allocator design (minus the "GC" bit) became the basis of our work on "low fat pointers" resulting in two publications:

Open Source Agenda is not affiliated with "GJDuck GC" Project. README Source: GJDuck/GC
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