Chad Huneycutt

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This paper explores the energy and delay issues that occur when some or all of the local storage is moved out of the embedded device, and into a remote network server. We demonstrate using the network to access remote storage in lieu of local DRAM results in significant power savings. Mobile applications continually demand additional memory, with(More)
Data-Intensive infrastructures are increasingly used for online processing of live data to guide operations and decision making. VScope is a flexible monitoring and analysis middleware for troubleshooting such large-scale, time-sensitive, multi-tier applications. With VScope, lightweight anomaly detection and interaction tracking methods can be run(More)
A software cache implements instruction and data caching entirely in software. Dynamic binary rewriting offers a means to specialize the software cache miss checks at cache miss time. We describe a software cache system implemented using dynamic binary rewriting and observe that the combination is particularly appropriate for the scenario of a simple(More)
Software caching via binary rewriting enables networked embedded devices to have the benefits of a memory hierarchy without the hardware costs. A software cache replaces the hardware cache/MMU mechanisms of the embedded system with software management of on-chip RAM using a network server as the backing store. The bulk of the software complexity is placed(More)
This paper describes a technique for utilizing predication to support software pipelining on EPIC architectures in the presence of dynamic memory aliasing. The essential idea is that the compiler generates an optimistic software-pipelined schedule that assumes there is no memory aliasing. The operations in the pipeline kernel are predicated, however, so(More)
Traditional data center monitoring systems focus on collecting basic metrics such as CPU and memory usage, in a centralized location, giving administrators a summary of global system health via a database of observations. Conversely, emerging research systems are focusing on scalable, distributed monitoring capable of quickly detecting and alerting(More)
Explicitly software managed cache systems are postulated as a solution for power considerations in computing devices. The savings expected in a SoftCache lies in the removal of tag storage, associativity logic, comparators, and other hardware dedicated to memory hierarchies. The penalty lies in high cache-miss cost and additional instructions required to(More)
We propose a SoftCache for low-power and reduced die area while providing application flexibility. Our implementations demonstrate that the network is a power efficient means for accessing remote memory. The impact of this work suggests that SoftCache systems may be useful in future consumer electronics. Our results show that die power is reduced by 20%,(More)
This work addresses the problem of the increasing performance disparity between the microprocessor and memory subsystem. Current L1 caches fabricated in deep submicron processes must either shrink to maintain timing, or suffer higher latencies, exacerbating the problem. We introduce a new classification for the behavior of memory traffic, which we refer to(More)
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