The Experts below are selected from a list of 8251443 Experts worldwide ranked by ideXlab platform
Mingoo Seok - One of the best experts on this subject based on the ideXlab platform.
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hotspot monitoring and temperature estimation with miniature on chip temperature sensors
International Symposium on Low Power Electronics and Design, 2017Co-Authors: Pavan Kumar Chundi, Yini Zhou, Eren Kursun, Mingoo SeokAbstract:This paper presents analysis and evaluation of the impact of size and voltage Scalability of on-chip temperature sensor on the accuracy of hotspot monitoring and temperature estimation in dynamic thermal management of high performance microprocessors. The analysis is based on both the layout level and the system level across state-of-the-art sensors in terms of accuracy, voltage-Scalability, and silicon footprint. Our analysis shows that a sensor having compact footprint and good voltage Scalability can be placed on exact hotspot locations, typically among digital cells, significantly improving accuracy in tracking hotspots and estimating temperature of microarchitecture blocks, as compared to two other sensors that have higher sensor-circuit accuracy, large footprint and little voltage Scalability limiting flexible placement.
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ISLPED - Hotspot monitoring and Temperature Estimation with miniature on-chip temperature sensors
2017 IEEE ACM International Symposium on Low Power Electronics and Design (ISLPED), 2017Co-Authors: Pavan Kumar Chundi, Yini Zhou, Eren Kursun, Martha A. Kim, Mingoo SeokAbstract:This paper presents analysis and evaluation of the impact of size and voltage Scalability of on-chip temperature sensor on the accuracy of hotspot monitoring and temperature estimation in dynamic thermal management of high performance microprocessors. The analysis is based on both the layout level and the system level across state-of-the-art sensors in terms of accuracy, voltage-Scalability, and silicon footprint. Our analysis shows that a sensor having compact footprint and good voltage Scalability can be placed on exact hotspot locations, typically among digital cells, significantly improving accuracy in tracking hotspots and estimating temperature of microarchitecture blocks, as compared to two other sensors that have higher sensor-circuit accuracy, large footprint and little voltage Scalability limiting flexible placement.
Bettina Kemme - One of the best experts on this subject based on the ideXlab platform.
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boosting database replication Scalability through partial replication and 1 copy snapshot isolation
Pacific Rim International Symposium on Dependable Computing, 2007Co-Authors: Damian Serrano, Marta Patinomartinez, Ricardo Jimenezperis, Bettina KemmeAbstract:Databases have become a crucial component in modern information systems. At the same time, they have become the main bottleneck in most systems. Database replication protocols have been proposed to solve the Scalability problem by scaling out in a cluster of sites. Current techniques have attained some degree of Scalability, however there are two main limitations to existing approaches. Firstly, most solutions adopt a full replication model where all sites store a full copy of the database. The coordination overhead imposed by keeping all replicas consistent allows such approaches to achieve only medium Scalability. Secondly, most replication protocols rely on the traditional consistency criterion, 1-copy-serializability, which limits concurrency, and thus Scalability of the system. In this paper, we first analyze analytically the performance gains that can be achieved by various partial replication configurations, i.e., configurations where not all sites store all data. From there, we derive a partial replication protocol that provides 1-copy-snapshot isolation as correctness criterion. We have evaluated the protocol with TPC-W and the results show better Scalability than full replication.
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PRDC - Boosting Database Replication Scalability through Partial Replication and 1-Copy-Snapshot-Isolation
13th Pacific Rim International Symposium on Dependable Computing (PRDC 2007), 2007Co-Authors: Damian Serrano, Ricardo Jiménez-peris, Marta Patiño-martínez, Bettina KemmeAbstract:Databases have become a crucial component in modern information systems. At the same time, they have become the main bottleneck in most systems. Database replication protocols have been proposed to solve the Scalability problem by scaling out in a cluster of sites. Current techniques have attained some degree of Scalability, however there are two main limitations to existing approaches. Firstly, most solutions adopt a full replication model where all sites store a full copy of the database. The coordination overhead imposed by keeping all replicas consistent allows such approaches to achieve only medium Scalability. Secondly, most replication protocols rely on the traditional consistency criterion, 1-copy-serializability, which limits concurrency, and thus Scalability of the system. In this paper, we first analyze analytically the performance gains that can be achieved by various partial replication configurations, i.e., configurations where not all sites store all data. From there, we derive a partial replication protocol that provides 1-copy-snapshot isolation as correctness criterion. We have evaluated the protocol with TPC-W and the results show better Scalability than full replication.
Pavan Kumar Chundi - One of the best experts on this subject based on the ideXlab platform.
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hotspot monitoring and temperature estimation with miniature on chip temperature sensors
International Symposium on Low Power Electronics and Design, 2017Co-Authors: Pavan Kumar Chundi, Yini Zhou, Eren Kursun, Mingoo SeokAbstract:This paper presents analysis and evaluation of the impact of size and voltage Scalability of on-chip temperature sensor on the accuracy of hotspot monitoring and temperature estimation in dynamic thermal management of high performance microprocessors. The analysis is based on both the layout level and the system level across state-of-the-art sensors in terms of accuracy, voltage-Scalability, and silicon footprint. Our analysis shows that a sensor having compact footprint and good voltage Scalability can be placed on exact hotspot locations, typically among digital cells, significantly improving accuracy in tracking hotspots and estimating temperature of microarchitecture blocks, as compared to two other sensors that have higher sensor-circuit accuracy, large footprint and little voltage Scalability limiting flexible placement.
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ISLPED - Hotspot monitoring and Temperature Estimation with miniature on-chip temperature sensors
2017 IEEE ACM International Symposium on Low Power Electronics and Design (ISLPED), 2017Co-Authors: Pavan Kumar Chundi, Yini Zhou, Eren Kursun, Martha A. Kim, Mingoo SeokAbstract:This paper presents analysis and evaluation of the impact of size and voltage Scalability of on-chip temperature sensor on the accuracy of hotspot monitoring and temperature estimation in dynamic thermal management of high performance microprocessors. The analysis is based on both the layout level and the system level across state-of-the-art sensors in terms of accuracy, voltage-Scalability, and silicon footprint. Our analysis shows that a sensor having compact footprint and good voltage Scalability can be placed on exact hotspot locations, typically among digital cells, significantly improving accuracy in tracking hotspots and estimating temperature of microarchitecture blocks, as compared to two other sensors that have higher sensor-circuit accuracy, large footprint and little voltage Scalability limiting flexible placement.
Damian Serrano - One of the best experts on this subject based on the ideXlab platform.
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boosting database replication Scalability through partial replication and 1 copy snapshot isolation
Pacific Rim International Symposium on Dependable Computing, 2007Co-Authors: Damian Serrano, Marta Patinomartinez, Ricardo Jimenezperis, Bettina KemmeAbstract:Databases have become a crucial component in modern information systems. At the same time, they have become the main bottleneck in most systems. Database replication protocols have been proposed to solve the Scalability problem by scaling out in a cluster of sites. Current techniques have attained some degree of Scalability, however there are two main limitations to existing approaches. Firstly, most solutions adopt a full replication model where all sites store a full copy of the database. The coordination overhead imposed by keeping all replicas consistent allows such approaches to achieve only medium Scalability. Secondly, most replication protocols rely on the traditional consistency criterion, 1-copy-serializability, which limits concurrency, and thus Scalability of the system. In this paper, we first analyze analytically the performance gains that can be achieved by various partial replication configurations, i.e., configurations where not all sites store all data. From there, we derive a partial replication protocol that provides 1-copy-snapshot isolation as correctness criterion. We have evaluated the protocol with TPC-W and the results show better Scalability than full replication.
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PRDC - Boosting Database Replication Scalability through Partial Replication and 1-Copy-Snapshot-Isolation
13th Pacific Rim International Symposium on Dependable Computing (PRDC 2007), 2007Co-Authors: Damian Serrano, Ricardo Jiménez-peris, Marta Patiño-martínez, Bettina KemmeAbstract:Databases have become a crucial component in modern information systems. At the same time, they have become the main bottleneck in most systems. Database replication protocols have been proposed to solve the Scalability problem by scaling out in a cluster of sites. Current techniques have attained some degree of Scalability, however there are two main limitations to existing approaches. Firstly, most solutions adopt a full replication model where all sites store a full copy of the database. The coordination overhead imposed by keeping all replicas consistent allows such approaches to achieve only medium Scalability. Secondly, most replication protocols rely on the traditional consistency criterion, 1-copy-serializability, which limits concurrency, and thus Scalability of the system. In this paper, we first analyze analytically the performance gains that can be achieved by various partial replication configurations, i.e., configurations where not all sites store all data. From there, we derive a partial replication protocol that provides 1-copy-snapshot isolation as correctness criterion. We have evaluated the protocol with TPC-W and the results show better Scalability than full replication.
Lixia Zhang - One of the best experts on this subject based on the ideXlab platform.
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Evolution Towards Global Routing Scalability
IEEE Journal on Selected Areas in Communications, 2010Co-Authors: Varun Khare, Dan Jen, Xin Zhao, Yaoqing Liu, Dan Massey, Lan Wang, Beichuan Zhang, Lixia ZhangAbstract:Internet routing tables have been growing rapidly due to factors such as edge-site multihoming, traffic engineering, and disjoint address allocations. To address the routing Scalability problems caused by this rapid growth, we propose an evolutionary approach that is incrementally deployable and provides immediate benefits to any adopting ASes. The basic premise of the approach is that route aggregation removes from routing tables the unnecessary topological details about remote portions of the Internet. We demonstrate that aggregation can be applied incrementally starting from local scopes within individual routers and individual ASes, and gradually expanded to the global Internet scope. The evaluation studies show that route aggregation is effective in addressing FIB Scalability problems within a router and within a network.
