Zobrazeno 1 - 10 of 83 pro vyhledávání: '"Hwansoo Han"'
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Akademický článek
CCA: Cost-Capacity-Aware Caching for In-Memory Data Analytics Frameworks
Autor: Seongsoo Park, Minseop Jeong, Hwansoo Han
Publikováno v: Sensors, Vol 21, Iss 7, p 2321 (2021)
To process data from IoTs and wearable devices, analysis tasks are often offloaded to the cloud. As the amount of sensing data ever increases, optimizing the data analytics frameworks is critical to the performance of processing sensed data. A key ap
Externí odkaz: https://doaj.org/article/efed91505e0d4d4c9e73705ccee3c5f6
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5
Idempotence-Based Preemptive GPU Kernel Scheduling for Embedded Systems
Autor: Euiseong Seo, Hwansoo Han, Hyunjun Kim, Hyeonsu Lee, Cheolgi Kim
Publikováno v: IEEE Transactions on Computers. 70:332-346
Mission-critical embedded systems simultaneously run multiple graphics-processing-unit (GPU) computing tasks with different criticality and timeliness requirements. Considerable research effort has been dedicated to supporting the preemptive priority
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::cb522b0f6f3d080a8b2ddacc624fe590
https://doi.org/10.1109/tc.2020.2988251
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6
Page Reuse in Cyclic Thrashing of GPU Under Oversubscription: Work-in-Progress
Autor: Hwansoo Han, Dojin Park, Hyunjun Kim
Publikováno v: CASES
Nvidia GPUs can oversubscribe CPU-side RAM, elevating GPU programmability and enabling GPU to use data beyond the size of GPU memory. However, oversubsrciption accompanies overhead of constant exchange of pages between the GPU and the CPU. To this pr
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::cec8a3696a11e581b7d8cc49e3b9f89e
https://doi.org/10.1109/cases51649.2020.9243742
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7
Effective Profiling for Data-Intensive GPU Programs: Work-in-Progress
Autor: Hwansoo Han, Hwiwon Kim, Hyunjun Kim
Publikováno v: CASES
GPU profilers have been successfully used to analyze bottlenecks and slowdowns of GPU programs. Several instrumentation tools for profiling GPU binaries are introduced, but these tools take little consideration into GPU architectures. In this paper,
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3c9a42543fc2228733a88eae494ac74a
https://doi.org/10.1109/cases51649.2020.9243727
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8
Cost-Effective Container Orchestration Using Usage Data
Autor: Hwansoo Han, Youseok Nam
Publikováno v: SMA
Recent cloud IDE services provide containers as development environment to users. Since users have little knowledge on specific tasks to run and computing resources required in their containers, it is difficult to decide exactly how many containers t
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e0388fd7989d99bb50a2ae733b9ada48
https://doi.org/10.1145/3426020.3426123
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9
Caching Cost Model for In-memory Data Analytics Framework
Autor: Hwansoo Han, Seongsoo Park, Minseop Jeong
Publikováno v: SMA
In the era of data-parallel analytics, caching intermediate results is used as a key method to speed up the framework. Existing frameworks apply various caching policies depending on run-time context or programmer’s decision. Since caching still le
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b7dd72f001a72d896f3601f044eaaf19
https://doi.org/10.1145/3426020.3426070
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