Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Seongbae Park

dblp:04/3043 · DBLP profile ↗
← Back
2ranked-venue papers
1as first author
0since 2021 · last 2007
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 2 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Software engineering, system software, and programming languages
2 papers
Compilers and program optimization · 64% Runtime systems and virtual machines · 36%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Processor architecture and microarchitecture · 100%

Topics — the 7 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Runtime systems and virtual machines › dynamic compilation
just-in-time compilation
0.112007
Efficient Register Mapping and Allocation in LaTTe, an Open-Source Java Just-in-Time Compiler · IEEE Trans. Parallel Distributed Syst. 2007
Compilers and program optimization
register allocation
0.112007
Efficient Register Mapping and Allocation in LaTTe, an Open-Source Java Just-in-Time Compiler · IEEE Trans. Parallel Distributed Syst. 2007
Compilers and program optimization
compiler back end
0.012007
Efficient Register Mapping and Allocation in LaTTe, an Open-Source Java Just-in-Time Compiler · IEEE Trans. Parallel Distributed Syst. 2007
Compilers and program optimization
instruction scheduling
0.011997
Evaluation of Scheduling Techniques on a SPARC-based VLIW Testbed · MICRO 1997
Compilers and program optimization › instruction scheduling
software pipelining
0.011997
Evaluation of Scheduling Techniques on a SPARC-based VLIW Testbed · MICRO 1997
Processor architecture and microarchitecture
instruction scheduling
0.011997
Evaluation of Scheduling Techniques on a SPARC-based VLIW Testbed · MICRO 1997
Processor architecture and microarchitecture › instruction-level parallelism
VLIW
0.011997
Evaluation of Scheduling Techniques on a SPARC-based VLIW Testbed · MICRO 1997

Methods — techniques the papers use, named apart from their topics

register mapping · 0.1register allocation · 0.1profiling · 0.0
YearPublicationVenuePosition
2007 Efficient Register Mapping and Allocation in LaTTe, an Open-Source Java Just-in-Time Compiler
Byung-Sun Yang, Junpyo Lee, SeungIl Lee, Seongbae Park, Yoo C. Chung, Suhyun Kim 0001, Kemal Ebcioglu, Erik R. Altman, Soo-Mook Moon
IEEE Trans. Parallel Distributed Syst.4
1997 Evaluation of Scheduling Techniques on a SPARC-based VLIW Testbed
abstract
The performance of Very Long Instruction Word (VLIW) microprocessors depends on the close cooperation between the compiler and the architecture. This paper evaluates a set of important compilation techniques and related architectural features for VLIW machines. The evaluation is performed on a SPARC-based VLIW testbed where gcc-generated optimized SPARC code is scheduled into high-performance VLIW code. As a base scheduling compiler, we experiment with three core scheduling techniques including enhanced pipeline scheduling, all-path speculation, and renaming. We analyze the characteristics of the useful and useless ALUs in each cycle to see how many of those ALUs execute non-speculative operations, speculative operations, and copies, respectively. Then, we evaluate the following compilation techniques: software pipelining, loop unrolling, non-greedy enhanced pipeline scheduling, profile-based all-path speculation, trace-based speculation, renaming, restricted speculative loads, and memory disambiguation. Since we experiment on a uniform testbed based on a detailed analysis of ALUs, our evaluation provides an useful insight on the performance impact of these techniques.
Seongbae Park, SangMin Shim, Soo-Mook Moon
MICRO1