What is he best known for?
The fields of study he is best known for:
- Operating system
- Programming language
- Central processing unit
Alexandru Nicolau mostly deals with Parallel computing, Compiler, Embedded system, Scheduling and Computer architecture.
His Parallel computing research includes themes of High-level synthesis and Software pipelining.
His Compiler research incorporates themes from Hardware description language, Design space exploration and Implicit parallelism.
His Embedded system research includes elements of Non-uniform memory access, Uniform memory access, Memory management, Power management and Middleware.
Alexandru Nicolau has included themes like Correctness, Heuristics and Very long instruction word in his Scheduling study.
The concepts of his Computer architecture study are interwoven with issues in Tree traversal, Network topology, Heuristic, Field-programmable gate array and Interconnection.
His most cited work include:
- EXPRESSION: a language for architecture exploration through compiler/simulator retargetability (384 citations)
- SPARK: a high-level synthesis framework for applying parallelizing compiler transformations (357 citations)
- Efficient utilization of scratch-pad memory in embedded processor applications (265 citations)
What are the main themes of his work throughout his whole career to date?
Alexandru Nicolau focuses on Parallel computing, Compiler, Embedded system, Scheduling and Computer architecture.
His Parallel computing study frequently links to related topics such as High-level synthesis.
His Compiler research is multidisciplinary, relying on both Data structure and Code.
His research integrates issues of Non-uniform memory access, Uniform memory access, Cache-only memory architecture and Software in his study of Embedded system.
His work carried out in the field of Uniform memory access brings together such families of science as Memory architecture, Interleaved memory, Flat memory model and Shared memory.
The study incorporates disciplines such as Multiprocessing and Load balancing, Distributed computing in addition to Scheduling.
He most often published in these fields:
- Parallel computing (56.45%)
- Compiler (28.65%)
- Embedded system (21.49%)
What were the highlights of his more recent work (between 2010-2021)?
- Parallel computing (56.45%)
- Compiler (28.65%)
- Embedded system (21.49%)
In recent papers he was focusing on the following fields of study:
His main research concerns Parallel computing, Compiler, Embedded system, Software and Speedup.
In the field of Parallel computing, his study on Multi-core processor overlaps with subjects such as Matrix multiplication.
His Compiler research focuses on subjects like Parallelism, which are linked to Very long instruction word and Instruction scheduling.
His study in Embedded system is interdisciplinary in nature, drawing from both Static random-access memory, Memory management and Cache-only memory architecture.
Alexandru Nicolau has researched Software in several fields, including Exploit, Software engineering and Programming paradigm.
His research in the fields of Software pipelining overlaps with other disciplines such as Terminology.
Between 2010 and 2021, his most popular works were:
- Underdesigned and Opportunistic Computing in Presence of Hardware Variability (126 citations)
- Power / Capacity Scaling: Energy Savings With Simple Fault-Tolerant Caches (27 citations)
- Exploiting parallelism in matrix-computation kernels for symmetric multiprocessor systems: Matrix-multiplication and matrix-addition algorithm optimizations by software pipelining and threads allocation (23 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Programming language
- Central processing unit
His primary scientific interests are in Embedded system, Parallel computing, Software, MPSoC and Cache-only memory architecture.
As a part of the same scientific study, Alexandru Nicolau usually deals with the Embedded system, concentrating on Memory management and frequently concerns with Dram and Physical address.
His Parallel computing study combines topics in areas such as Fault tolerance and Program optimization, Compiler.
His Compiler research integrates issues from Flow, Cryptography, Code, Redundancy and Computation.
His Software research is multidisciplinary, incorporating perspectives in Computer hardware, Reliability, Integrated circuit design, Exploit and Software engineering.
His studies in Cache-only memory architecture integrate themes in fields like Non-uniform memory access, Cache algorithms and Memory bandwidth.
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