• KIISE Transactions on Computing Practices
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• v.20 no.9
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• pp.507-512
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• 2014

Recently, Distributed computing processing begins using both CPU(Central processing unit) and GPU(Graphic processing unit) to improve the performance to overcome darksilicon problem which cannot use all of the transistors because of the electric power limitation. There is an integrated graphics processor that CPU and GPU share memory and Last level cache(LLC). But, There is no LLC access rules between CPU and GPU, so if GPU and CPU processes run together at the same time, performance of both processes gets worse because of the contention on the LLC. This Paper gives evidence to prove the need of the Cache Partitioning and is mentioned about the cache partitioning design using page coloring to allocate the L3 Cache space only for the GPU process to guarantee GPU process performance.

• Journal of the Korea Society of Computer and Information
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• v.18 no.11
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• pp.1-12
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• 2013

In multi-core processors, Last Level Cache(LLC) can reduce the speed gap between the memory and the core. For this reason, LLC has big impact on the performance of processors. LLC is composed of shared cache and private cache. In computer architecture community, most researchers have mainly focused on the management techniques for shared cache, while management techniques for private cache have not been widely researched. In conventional private LLC, memory is statically assigned to each core, resulting in serious performance degradation when the workloads are not fairly distributed. To overcome this problem, this paper proposes the replacement policy for managing private cache of LLC efficiently. As proposed core-aware cache replacement policy can reconfigure LLC dynamically, hit rate of LLC is increases drastically. Moreover, proposed policy uses 2-bit saturating counters to improve the performance. According to our simulation results, the proposed method can improve hit rates by 9.23% and reduce the access time by 12.85% compared to the conventional method.

• JSTS:Journal of Semiconductor Technology and Science
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• v.16 no.3
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• pp.330-338
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• 2016

Phase change memory (PCM) has been studied as an emerging memory technology for last-level cache (LLC) due to its extremely low leakage. However, it consumes high levels of energy in updating cells and its write endurance is limited. To relieve the write pressure of LLC, we propose a delta value indicator (DVI) by employing a small cache which stores the difference between the value currently stored and the value newly loaded. Since the write energy consumption of the small cache is less than the LLC, the energy consumption is reduced by access to the small cache instead of the LLC. In addition, the lifetime of the LLC is further extended because the number of write accesses to the LLC is decreased. To this end, a delta value indicator and controlling circuits are inserted into the LLC. The simulation results show a 26.8% saving of dynamic energy consumption and a 31.7% lifetime extension compared to a state-of-the-art scheme for PCM.

• The Journal of Korean Institute of Next Generation Computing
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• v.15 no.2
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• pp.39-49
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• 2019

Recently, CPU-GPU integrated heterogeneous multicore processors have been widely used for improving the performance of computing systems. Heterogeneous multicore processors integrate CPUs and GPUs on a single chip where CPUs and GPUs share the LLC(Last Level Cache). This causes a serious cache contention problem inside the processor, resulting in significant performance degradation. In this paper, we propose the partitioned LLC architecture to solve the cache contention problem in heterogeneous multicore processors. We analyze the performance impact varying the LLC size of CPUs and GPUs, respectively. According to our simulation results, the bigger the LLC size of the CPU, the CPU performance improves by up to 21%. However, the GPU shows negligible performance difference when the assigned LLC size increases. In other words, the GPU is less likely to lose the performance when the LLC size decreases. Because the performance degradation due to the LLC size reduction in GPU is much smaller than the performance improvement due to the increase of the LLC size of the CPU, the overall performance of heterogeneous multicore processors is expected to be improved by applying partitioned LLC to CPUs and GPUs. In addition, if we develop a memory management technique that can maximize the performance of each core in the future, we can greatly improve the performance of heterogeneous multicore processors.

• The Journal of Korean Association of Computer Education
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• v.17 no.1
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• pp.107-115
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• 2014

This paper evaluates and analyzes the performance of TILE-Gx36(Gx36), a many-core processor. The PARSEC parallel benchmark suite was used to measure the performance, and Core i7 (i7) and Atom are used for the performance comparison. When experimented with the maximum number of threads that can be executed concurrently on each machine, Gx36 showed a 2.73${\times}$ inferior performance to Core i7 and a 1.93${\times}$ superior performance to Atom. Gx36 has the largest Last Level Cache(LLC) among the compared processors. Nevertheless, it reported the biggest number of LLC misses, which, we strongly believe, is the major culprit for lower performance than expected. Our study suggests that the DDC employed in Gx36 is not a favorable cache structure for the general-purpose high-performance computing. The actual measurement with off-the-shelf machine provides non-biased data for polishing the future many-core architecture.

• Annual Conference of KIPS
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• 2012.04a
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• pp.134-136
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• 2012

클라우드 컴퓨팅 서비스 시장이 성장하면서, 서비스 제공자들은 전력 사용량 감소와 서비스 수준을 보장하는 등의 여러 가지 문제와 맞딱드리게 되었다. 이런 문제에 대한 원인 중 하나는 자원 효율성을 높이기 위해 도입한 가상머신 기반의 서버 통합 정책이다. 현재의 가상머신 기술들은 아직까지 완벽한 격리수준을 제공하지 못하기 때문에, 같은 노드에 배치된 가상머신들은 자원을 공유하면서 서로 간에 간섭을 일으키게 된다. 본 연구에서는 가상머신끼리 공유하는 자원 중 프로세서의 말단 캐시(Last-level Cache, LLC)에서의 간섭을 최대한 줄여서 성능을 극대화하기 위한 방법을 제안한다.

• Annual Conference of KIPS
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• 2012.04a
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• pp.199-201
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• 2012

디스크나 이더넷과 같은 I/O 장치로부터 발생하는 I/O 트래픽은, 여러 개의 노드를 가진 NUMA 시스템의 공유 LLC에 캐시 오염을 일으켜 캐시 라인이 재사용되는 것을 방해한다. 이러한 태스크는 캐시를 효율적으로 이용할 수 있는 메모리 집중적인 태스크들과 따로 분리하여 다룰 필요가 있다. 본 논문에서는 이러한 캐시 오염을 발생시키는 태스크들을 해당 태스크의 I/O 트래픽을 이용하여 실시간으로 감시하고 분류하는 기법을 제안한다. 또한 대량의 I/O 트래픽을 일으키는 태스크의 특성을 알아본다. 이를 통해, NUMA 시스템 환경에서 각 노드의 공유 LLC를 보다 효율적으로 사용할 수 있는 운영체제 스케줄링 기법을 연구하기 위한 토대를 마련하였다.

• Journal of KIISE
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• v.41 no.11
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• pp.871-877
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• 2014

Cache replacement algorithms have been developed in order to reduce miss counts. In modern processors, the performance gap between the processor and main memory has been increasing, creating a more important role for cache replacement policies. The Least Recently Used (LRU) policy is one of the most common policies used in modern processors. However, recent research has shown that the performance gap between the LRU and the theoretical optimal replacement algorithm (OPT) is large. Although LRU replacement has been proven to be adequate over and over again, the OPT/LRU performance gap is continuously widening as the cache associativity becomes large. In this study, we observed that there is a potential chance to improve cache performance based on existing LRU mechanisms. We propose a method that enhances the performance of the LRU replacement algorithm based on the access proportion among the lines in a cache set during a period of two successive replacement actions that make the final replacement action. Our experimental results reveals that the proposed method reduced the average miss rate of the baseline 512KB L2 cache by 15 percent when compared to conventional LRU. In addition, the performance of the processor that applied our proposed cache replacement policy improved by 4.7 percent over LRU, on average.

• Journal of the Korea Society of Computer and Information
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• v.26 no.8
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• pp.1-11
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• 2021

This paper proposes a novel mechanism called Event-driven Uncore Frequency Scaler (eUFS) to improve the energy efficiency of the HPC systems. UFS exploits the hardware events such as LAPI (Last-level Cache Accesses Per Instructions) and CPI (Clock Cycles Per Instruction) to dynamically adjusts the uncore frequency. Hardware events are collected at a reference time period, and the target uncore frequency is determined using the collected event and the previous uncore frequency. Experiments with the NPB benchmarks demonstrate that the eUFS reduces the energy consumption by 6% on average for class C and D NPB benchmarks while it only increases the execution time by 2% on average.