RTAS 2010 - PDF Preprint Papers

RTAS 2010 IEEE Real-Time and Embedded Technology and Applications Symposium

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RTAS
2010
IEEE

227views Embedded Systems» more RTAS 2010»

DARTS: Techniques and Tools for Predictably Fast Memory Using Integrated Data Allocation and Real-Time Task Scheduling

13 years 2 months ago

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—Hardware-managed caches introduce large amounts of timing variability, complicating real-time system design. One alternative is a memory system with scratchpad memories which im...

Sangyeol Kang, Alexander G. Dean

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Id	Views	Title	Status

1	227	DARTS: Techniques and Tools for Predictably Fast Memory Using Integrated Data Allocation and Real-Time Task Scheduling	claim
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4	199	Defects of the POSIX Sporadic Server and How to Correct Them	claim
5	195	Using PCM in Next-generation Embedded Space Applications	claim
6	180	Scheduling Self-Suspending Real-Time Tasks with Rate-Monotonic Priorities	claim
7	170	Feedback Thermal Control for Real-time Systems	claim
8	170	Approximate Bandwidth Allocation for Fixed-Priority-Scheduled Periodic Resources	claim
9	166	A Stochastic Framework for Multiprocessor Soft Real-Time Scheduling	claim
10	166	Middleware for Resource-Aware Deployment and Configuration of Fault-Tolerant Real-time Systems	claim
11	158	Improved Task Management Techniques for Enforcing EDF Scheduling on Recurring Tasks	claim
12	157	A Bandwidth Reservation Strategy for Multiprocessor Real-Time Scheduling	claim
13	153	Scalable Scheduling Policy Design for Open Soft Real-Time Systems	claim
14	152	Reservation-Based Interrupt Scheduling	claim
15	151	Studying the Applicability of the Scratchpad Memory Management Unit	claim
16	151	Timing Analysis for TDMA Arbitration in Resource Sharing Systems	claim
17	150	Towards the Design of Certifiable Mixed-criticality Systems	claim
18	149	Multi-Application Deployment in Shared Sensor Networks Based on Quality of Monitoring	claim
19	144	An Efficient Algorithm for Real-Time Divisible Load Scheduling	claim
20	118	Response Time versus Utilization in Scheduler Overhead Accounting	claim
21	116	Selecting Server Parameters for Predictable Runtime Monitoring	claim
22	91	Scheduling Dependent Periodic Tasks without Synchronization Mechanisms	claim

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