The Coda Distributed File System
Linux Journal
Middleware and Application Adaptation Requirements and Their Support in Pervasive Computing
ICDCSW '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
Fast Monte-Carlo Algorithms for Approximate Matrix Multiplication
FOCS '01 Proceedings of the 42nd IEEE symposium on Foundations of Computer Science
Brook for GPUs: stream computing on graphics hardware
ACM SIGGRAPH 2004 Papers
Proceedings of the 13th International Conference on Parallel Architectures and Compilation Techniques
Power reduction by varying sampling rate
ISLPED '05 Proceedings of the 2005 international symposium on Low power electronics and design
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
Energy Driven Application SelfAdaptation
VLSID '07 Proceedings of the 20th International Conference on VLSI Design held jointly with 6th International Conference: Embedded Systems
Evaluating MapReduce for Multi-core and Multiprocessor Systems
HPCA '07 Proceedings of the 2007 IEEE 13th International Symposium on High Performance Computer Architecture
3-tier dynamically adaptive power-aware motion estimator for h.264/AVC video encoding
Proceedings of the 13th international symposium on Low power electronics and design
Energy conservation by adaptive feature loading for mobile content-based image retrieval
Proceedings of the 13th international symposium on Low power electronics and design
Extending the lifetime of media recorders constrained by battery and flash memory size
Proceedings of the 13th international symposium on Low power electronics and design
On the Effects of Memory Latency and Bandwidth on Supercomputer Application Performance
IISWC '07 Proceedings of the 2007 IEEE 10th International Symposium on Workload Characterization
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Computer systems are resource constrained. Application adaptation is a useful way to optimize system resource usage while satisfying the application performance constraints. Previous application adaptation efforts, however, were ad-hoc, time-consuming, and highly application-specific with limited portability between computer systems. In this work, our goal is to provide a development platform to systematically explore and rigorously apply portable application-specific runtime optimization. We present OCCAM, a software platform for developing multicore adaptive applications. OCCAM's design-time platform consists of APIs and data structures that allow application developers to specify the performance constraints and application-specific optimization techniques. OCCAM's run-time system dynamically manages the application behavior and optimizes system resource usage. OCCAM targets emerging Recognition, Mining, and Synthesis Applications (RMS). Using a set of RMS benchmarks, the experimental study demonstrates that OCCAM can successfully optimize resource usage under application performance constraints across a wide range of computer platforms, with an average of 38% energy savings on an Intel Atom-based, energy-constrained portable system, and an average of 24% energy savings on a high-performance, dual-core computer platform. These savings are accomplished with low overhead. We have also successfully extended OCCAM applications to run on a 16-core setup.