Bernhard Egger
Bernhard Egger
Professor of Computer Science and Engineering, Seoul National University
Verified email at - Homepage
Cited by
Cited by
Efficient live migration of virtual machines using shared storage
C Jo, E Gustafsson, J Son, B Egger
Proceedings of the 9th ACM SIGPLAN/SIGOPS international conference on …, 2013
Fast and space-efficient virtual machine checkpointing
E Park, B Egger, J Lee
ACM SIGPLAN Notices 46 (7), 75-86, 2011
Scratchpad memory management for portable systems with a memory management unit
B Egger, J Lee, H Shin
Proceedings of the 6th ACM & IEEE International conference on Embedded …, 2006
A dynamic code placement technique for scratchpad memory using postpass optimization
B Egger, C Kim, C Jang, Y Nam, J Lee, SL Min
Proceedings of the 2006 international conference on Compilers, architecture …, 2006
A Machine Learning Approach to Live Migration Modeling
C Jo, Y Cho, B Egger
Symposium on Cloud Computing (SoCC'17), 351-364, 2017
Dynamic scratchpad memory management for code in portable systems with an MMU
B Egger, J Lee, H Shin
ACM Transactions on Embedded Computing Systems (TECS) 7 (2), 1-38, 2008
Recurrence cycle aware modulo scheduling for coarse-grained reconfigurable architectures
T Oh, B Egger, H Park, S Mahlke
Proceedings of the 2009 ACM SIGPLAN/SIGBED conference on Languages …, 2009
Dynamic data scratchpad memory management for a memory subsystem with an MMU
H Cho, B Egger, J Lee, H Shin
Proceedings of the 2007 ACM SIGPLAN/SIGBED conference on Languages …, 2007
FaCSim: a fast and cycle-accurate architecture simulator for embedded systems
J Lee, J Kim, C Jang, S Kim, B Egger, K Kim, SY Han
ACM Sigplan Notices 43 (7), 89-100, 2008
A performance model for GPUs with caches
TT Dao, J Kim, S Seo, B Egger, J Lee
Parallel and Distributed Systems, IEEE Transactions on 26 (7), 1800-1813, 2015
Scratchpad memory management techniques for code in embedded systems without an mmu
B Egger, S Kim, C Jang, J Lee, SL Min, H Shin
IEEE Transactions on Computers 59 (8), 1047-1062, 2010
Scratchpad memory management in a multitasking environment
B Egger, J Lee, H Shin
Proceedings of the 8th ACM international conference on Embedded software …, 2008
Power-aware performance analysis of self-adaptive resource management in IaaS clouds
E Ataie, R Entezari-Maleki, SE Etesami, B Egger, D Ardagna, A Movaghar
Future Generation Computer Systems 86, 134-144, 2018
Maximizing system utilization via parallelism management for co-located parallel applications
Y Cho, CAC Guzman, B Egger
Proceedings of the 27th International Conference on Parallel Architectures …, 2018
C-GOOD: C-code generation framework for optimized on-device deep learning
D Kang, E Kim, I Bae, B Egger, S Ha
2018 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 1-8, 2018
Auto-Tuning CNNs for Coarse-Grained Reconfigurable Array-Based Accelerators
I Bae, B Harris, H Min, B Egger
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2018
On-the-fly workload partitioning for integrated CPU/GPU architectures
Y Cho, F Negele, S Park, B Egger, TR Gross
Proceedings of the 27th International Conference on Parallel Architectures …, 2018
Processor, apparatus, and method for memory management
B Egger, D Yoo
US Patent App. 13/216,852, 2012
Instruction compressing apparatus and method
T Jin, D Yoo, B Egger, WS Kim, JS Lee, SH Kim, HJ Ahn
US Patent App. 12/912,533, 2011
Multi-core processor and method of controlling the same using revisable translation tables
D Yoo, B Egger
US Patent 10,713,095, 2020
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