Object distribution in Orca using Compile-Time and Run-Time techniques
OOPSLA '93 Proceedings of the eighth annual conference on Object-oriented programming systems, languages, and applications
Mirage+: a kernel implementation of distributed shared memory on a network of personal computers
Software—Practice & Experience
Design of the Munin distributed shared memory system
Journal of Parallel and Distributed Computing - Special issue on distributed shared memory systems
Improving Resource Management in Distributed Systems using Language-Level Structuring Concepts
The Journal of Supercomputing
Locality and Performance of Page- and Object-Based DSMs
IPPS '98 Proceedings of the 12th. International Parallel Processing Symposium on International Parallel Processing Symposium
Shared virtual memory on loosely coupled multiprocessors
Shared virtual memory on loosely coupled multiprocessors
Extending NT virtual memory by SCI-based hardware DSM
WINSYM'98 Proceedings of the 2nd conference on USENIX Windows NT Symposium - Volume 2
How to Make a Multiprocessor Computer That Correctly Executes Multiprocess Programs
IEEE Transactions on Computers
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Software-based distributed shared memory (DSM) systems do usually not provide any means to use shared memory regions as stacks or via an efficient heap memory allocator. Instead DSM users are forced to work with very rudimentary and coarse grain memory (de-)allocation primitives. As a consequence most DSM applications have to "reinvent the wheel", that is to implement simple stack or heap semantics within the shared regions. Obviously, this has several disadvantages. It is error-prone, timeconsuming and inefficient. This paper presents an all in software DSM that does not suffer from these drawbacks. Stack and heap organization is adapted to the changed requirements in DSM environments and both, stacks and heaps, are transparently placed in DSM space by the operating system.