• Journal of Korea Multimedia Society
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• v.16 no.2
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• pp.198-205
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• 2013

In this paper, the performance of multicore processor architecture is analyzed which utilizes out-of-order superscalar processor core using multiple basic block execution. Using SPEC 2000 benchmarks as input, the trace-driven simulation has been performed for the out-of-order superscalar processor with the window size from 32 to 64 and the number of cores between 1 and 16, exploiting multiple basic block execution from 1 to 4 extensively. As a result, the multicore out-of-order superscalar processor with 4 basic block execution achieves 22.0 % average performance increase over the same architecture with the single basic block execution.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.3
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• pp.873-889
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• 2014

IP address lookup is very crucial in performance of routers. Several works have been done on prefix caching to enhance the performance of IP address lookup. Since a prefix represents a range of IP addresses, a prefix cache shows better performance than an IP address cache. However, not every prefix is cacheable in itself. In a prefix cache it causes false hit to cache a non-leaf prefix because there is possibly the longer matching prefix in the routing table. Prefix expansion techniques such as complete prefix tree expansion (CPTE) make it possible to cache the non-leaf prefixes as the expanded forms, but it is hard to manage the expanded prefixes. The expanded prefixes sometimes incur a great deal of update overhead in a routing table. We propose a bitmap-based prefix cache (BMCache) to provide low update overhead as well as low cache miss ratio. The proposed scheme does not have any expanded prefixes in the routing table, but it can expand a non-leaf prefix using a bitmap on caching time. The trace-driven simulation shows that BMCache has very low miss ratio in spite of its low update overhead compared to other schemes.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.13 no.1
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• pp.163-169
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• 2013

Recently, the importance of embedded system is growing rapidly. In-order to satisfy the real-time constraints of the system, high performance embedded processor is required. Therefore, as in general purpose computer systems, embedded processor should be designed as multicore architecture as well. Using MiBench benchmarks as input, the trace-driven simulation has been performed and analyzed for the 2-core to 16-core embedded processor architectures with different types of cores from simple RISC to in-order and out-of-order superscalar processors, extensively. As a result, the achievable performance is as high as 23 times over the single core embedded RISC processor.

• ETRI Journal
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• v.37 no.1
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• pp.147-156
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• 2015

A typical solid-state drive contains several independent channels that can be operated in parallel. To exploit this channel-level parallelism, a variety of works proposed to split consecutive write sequences into small segments and schedule them to different channels. This scheme exploits the parallelism but breaks the spatial locality of write traffic; thus, it is able to significantly degrade the efficiency of garbage collection. This paper proposes a channel-aware write reordering (CAWR) mechanism to schedule write requests to different channels more intelligently. The novel mechanism encapsulates correlated pages into a cluster beforehand. All pages belonging to a cluster are scheduled to the same channels to exploit spatial locality, while different clusters are scheduled to different channels to exploit the parallelism. As CAWR covers both garbage collection and I/O performance, it outperforms existing schemes significantly. Trace-driven simulation results demonstrate that the CAWR mechanism reduces the average response time by 26% on average and decreases the valid page copies by 10% on average, while achieving a similar hit ratio to that of existing mechanisms.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.61 no.10
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• pp.1502-1507
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• 2012

In order to overcome the hardware complexity and power consumption problems, recently the multi-core architecture has been prevalent. For hardware simplicity, usually RISC processor is adopted as the unit core processor. However, if the performance of unit core processor is enhanced, the overall performance of the multi-core processor architecture can be further increased. In this paper, out-of-order superscalar processor is utilized for the multi-core processor architecture. Using SPEC 2000 benchmarks as input, the trace-driven simulation has been performed for the out-of-order superscalar cores between 2 and 16 extensively. As a result, the 16-core out-of-order superscalar processor for the window size of 16 resulted in 17.4 times speed up over the single-core out-of-order superscalar processor, and 50 times speed up over the single core RISC processor. When compared for the same number of cores on the average, the multi-core out-of-order superscalar processor performance achieved 3.2 times speed up over the multi-core RISC processor and 1.6 times speed up over the multi-core in-order superscalar processor.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.5
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• pp.219-224
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• 2015

Recently, the multi-core processor architecture is widely used in the digital signal processors for enhancing its performance. Multi-core processors are classified either as symmetric or asymmetric. Asymmetric multi-core processors are known to have higher performance and more efficient than symmetric multi-core processors. In order to study the performance enhancement of asymmetric multi-core digital signal processors over the symmetric ones, the trace-driven simulation has been executed for various asymmetric quad-core, octa-core and hexadeca-core digital signal processors and compared with the symmetric ones of similar hardware budget using UTDSP benchmarks as input.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.12 no.6
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• pp.175-180
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• 2012

In order to overcome the complexity and performance limit problems of superscalar processors, the multicore architecture has been prevalent recently. The configuration and the size of instruction and data caches greatly gives effect on the performance of multicore processors. Using SPEC 2000 benchmarks as input, the trace-driven simulation has been performed for the 2-core to 16-core architectures with different sizes of caches extensively. As a result, the 2-way set associative instruction and data cache with the size of 64KB brought the best cost-effective performance.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.14 no.3
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• pp.163-169
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• 2014

Recently, the importance of multicore processor system is growing rapidly. Multicore processors are classified either as symmetric or asymmetric. Asymmetric multicore processors consist of a high performance complex core and number of low performance simple cores, and are known to be more efficient than symmetric multicore processors. Therefore, performance impact on various configurations of asymmetric multi-core processor needs to be studied. Using SPEC 2000 benchmarks as input, the trace-driven simulation has been performed for different asymmetric quad-core and octa-core processors and compared to the corresponding symmetric ones.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.1
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• pp.233-238
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• 2016

Recently, the multi-core processor architecture is widely adopted in the embedded processors for enhancing its performance. Multi-core processors are classified either as symmetric or asymmetric. Asymmetric multicore processors are known to score higher performance and more efficient than symmetric multi-core processors. In order to study the performance enhancement of asymmetric multi-core embedded processors over the symmetric ones, the trace-driven simulation has been executed for various asymmetric embedded dual-core, quad-core, octa-core and hexadeca-core processors and compared with the symmetric ones of similar hardware budget using MiBench benchmarks as input.

• The KIPS Transactions:PartA
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• v.8A no.3
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• pp.201-208
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• 2001

Explosive growth of the Web and the non-uniform characteristics of client requests result in the performance degradation of Web servers, and server cache has been recognized as the solution. We analyzed Web server accessing characteristics-repetition, size, and locality of access. Based on the result, we analyzed the cache removal policies and proposed a prefetch strategy to improve the hit ratio of server caches. In addition, through the trace-driven simulation based on the traces from real Web sites, we showed the performance improvement by our proposal.