Yongjun Park
Yongjun Park
Zweryfikowany adres z hanyang.ac.kr - Strona główna
Cytowane przez
Cytowane przez
Chimera: Collaborative preemption for multitasking on a shared GPU
JJK Park, Y Park, S Mahlke
ACM SIGARCH Computer Architecture News 43 (1), 593-606, 2015
Transparent CPU-GPU collaboration for data-parallel kernels on heterogeneous systems
J Lee, M Samadi, Y Park, S Mahlke
Proceedings of the 22nd international conference on Parallel architectures …, 2013
Polymorphic pipeline array: a flexible multicore accelerator with virtualized execution for mobile multimedia applications
H Park, Y Park, S Mahlke
Proceedings of the 42nd Annual IEEE/ACM International Symposium on …, 2009
Dynamic resource management for efficient utilization of multitasking gpus
JJK Park, Y Park, S Mahlke
Proceedings of the twenty-second international conference on architectural …, 2017
CGRA express: accelerating execution using dynamic operation fusion
Y Park, H Park, S Mahlke
Proceedings of the 2009 international conference on Compilers, architecture …, 2009
Compiling apparatus and method of a multicore device
K Kwon, SJ Kim, S Mahlke, Y Park
US Patent 8,813,073, 2014
Skmd: Single kernel on multiple devices for transparent cpu-gpu collaboration
J Lee, M Samadi, Y Park, S Mahlke
ACM Transactions on Computer Systems (TOCS) 33 (3), 1-27, 2015
Process variation in near-threshold wide SIMD architectures
S Seo, RG Dreslinski, M Woh, Y Park, C Charkrabari, S Mahlke, D Blaauw, ...
DAC Design Automation Conference 2012, 980-987, 2012
SIMD defragmenter: Efficient ILP realization on data-parallel architectures
Y Park, S Seo, H Park, HK Cho, S Mahlke
ACM SIGPLAN Notices 47 (4), 363-374, 2012
APRES: Improving cache efficiency by exploiting load characteristics on GPUs
Y Oh, K Kim, MK Yoon, JH Park, Y Park, WW Ro, M Annavaram
ACM SIGARCH computer architecture news 44 (3), 191-203, 2016
Libra: Tailoring simd execution using heterogeneous hardware and dynamic configurability
Y Park, JJK Park, H Park, S Mahlke
2012 45th Annual IEEE/ACM International Symposium on Microarchitecture, 84-95, 2012
InGaN/GaN nanowires grown on SiO2 and light emitting diodes with low turn on voltages
Y Park, S Jahangir, Y Park, P Bhattacharya, J Heo
Optics express 23 (11), A650-A656, 2015
Efficient performance scaling of future CGRAs for mobile applications
Y Park, JJK Park, S Mahlke
2012 International Conference on Field-Programmable Technology, 335-342, 2012
Improving GPU multitasking efficiency using dynamic resource sharing
J Kim, J Cha, JJK Park, D Jeon, Y Park
IEEE Computer Architecture Letters 18 (1), 1-5, 2018
An eDRAM-based approximate register file for GPUs
D Jeong, YH Oh, JW Lee, Y Park
IEEE Design & Test 33 (1), 23-31, 2015
ELF: Maximizing memory-level parallelism for GPUs with coordinated warp and fetch scheduling
JJK Park, Y Park, S Mahlke
Proceedings of the International Conference for High Performance Computing …, 2015
NN compactor: Minimizing memory and logic resources for small neural networks
S Hong, I Lee, Y Park
2018 Design, Automation & Test in Europe Conference & Exhibition (DATE), 581-584, 2018
Efficient execution of augmented reality applications on mobile programmable accelerators
JJK Park, Y Park, S Mahlke
2013 International Conference on Field-Programmable Technology (FPT), 176-183, 2013
A FPGA-based neural accelerator for small IoT devices
S Hong, Y Park
2017 International SoC Design Conference (ISOCC), 294-295, 2017
Microarchitecture-aware code generation for deep learning on single-isa heterogeneous multi-core mobile processors
J Park, Y Kwon, Y Park, D Jeon
IEEE Access 7, 52371-52378, 2019
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