ASPLOS II Proceedings of the second international conference on Architectual support for programming languages and operating systems
The Aurora or-parallel Prolog system
New Generation Computing - Selected papers on parallel logic programming from the International Conference on Fifth Generation Computer Systems, 1988
SPLASH: Stanford parallel applications for shared-memory
ACM SIGARCH Computer Architecture News
Evaluating the memory overhead required for COMA architectures
ISCA '94 Proceedings of the 21st annual international symposium on Computer architecture
Scheduling and page migration for multiprocessor compute servers
ASPLOS VI Proceedings of the sixth international conference on Architectural support for programming languages and operating systems
COMA-F: a non-hierarchical cache only memory architecture
COMA-F: a non-hierarchical cache only memory architecture
Operating system support for improving data locality on CC-NUMA compute servers
Proceedings of the seventh international conference on Architectural support for programming languages and operating systems
Computer architecture (2nd ed.): a quantitative approach
Computer architecture (2nd ed.): a quantitative approach
Parallel Evaluation of a Parallel Architecture by Means of Calibrated Emulation
Proceedings of the 8th International Symposium on Parallel Processing
Bus-based COMA-reducing traffic in shared-bus multiprocessors
HPCA '96 Proceedings of the 2nd IEEE Symposium on High-Performance Computer Architecture
The Data Diffusion Machine with a Scalable Point-to-Point Network
The Data Diffusion Machine with a Scalable Point-to-Point Network
Virtual memory on data diffusion architectures
Parallel Computing
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Data diffusion architectures (also known as cache only memory architectures) provide a shared address space using physically distributed main memory that is associative. The associative nature of main memory decouples each address and its data item from any physical location, allowing data items to diffuse, or migrate and replicate, in any node of main memory according to use. Hence remote accesses tend to become local accesses, making the distributed organisation of main memory transparent to software.However, for data to diffuse effectively with reasonable performance, a fraction of main memory must be reserved as diffusion space, to allow for data replication and freedom of data migration. At any moment the amount of distinct data resident in main memory must be less than the capacity of main memory. Otherwise data will keep moving around the interconnect medium and memory nodes, possibly continually displacing data in frequent use by the processors, resulting in poor performance.We present an analysis of the issues in the provision of diffusion space using empirical data from a realistic environment. Our experimental platform is a multiprocessor emulation of a data diffusion architecture that includes the virtual memory component of the Mach operating system. For flexibility in the provision of diffusion space in the context of set-associative memory, our results suggest the need for a simple interaction between virtual memory software and the data diffusing hardware.