Scheduling and IPC mechanisms for continuous media
SOSP '91 Proceedings of the thirteenth ACM symposium on Operating systems principles
IO-Lite: a unified I/O buffering and caching system
ACM Transactions on Computer Systems (TOCS)
StreamIt: A Language for Streaming Applications
CC '02 Proceedings of the 11th International Conference on Compiler Construction
Understanding The Linux Kernel
Understanding The Linux Kernel
The potential of the cell processor for scientific computing
Proceedings of the 3rd conference on Computing frontiers
Introduction to the cell multiprocessor
IBM Journal of Research and Development - POWER5 and packaging
Exploiting coarse-grained task, data, and pipeline parallelism in stream programs
Proceedings of the 12th international conference on Architectural support for programming languages and operating systems
CellSs: a programming model for the cell BE architecture
Proceedings of the 2006 ACM/IEEE conference on Supercomputing
FFPF: fairly fast packet filters
OSDI'04 Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation - Volume 6
ALS '01 Proceedings of the 5th annual Linux Showcase & Conference - Volume 5
A Component-based Coordination Language for Efficient Reconfigurable Streaming Applications
ICPP '07 Proceedings of the 2007 International Conference on Parallel Processing
Exploiting the Cell/BE Architecture with the StarPU Unified Runtime System
SAMOS '09 Proceedings of the 9th International Workshop on Embedded Computer Systems: Architectures, Modeling, and Simulation
StarPU: A Unified Platform for Task Scheduling on Heterogeneous Multicore Architectures
Euro-Par '09 Proceedings of the 15th International Euro-Par Conference on Parallel Processing
DDM-VMc: the data-driven multithreading virtual machine for the cell processor
Proceedings of the 6th International Conference on High Performance and Embedded Architectures and Compilers
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Developing streaming applications on heterogenous multi-processor architectures like the Cell is difficult. Currently, application developers need to know about hardware details to deal with issues like scheduling, memory management and communication/synchronization. Worse, with multiple alternatives for communication available, developers spend significant time picking the most appropriate one. A poor choice often results in bad performance. With Cell-Space , we shield users from hardware details without compromising performance. Its runtime is based on an evaluation of the different communication primitives. In Cell-Space , developers specify a streaming application as a data flow graph of interacting components. Both task- and data-parallelism are easily expressed and advanced features such as dynamic reconfiguration are fully supported. Beneath a simple interface we include a slew of optimizations not present in other Cell run time environments. We demonstrate the impact of these optimizations and show that Cell-Space applications can efficiently exploit the resources offered by the Cell.