What is he best known for?
The fields of study he is best known for:
- Algorithm
- Electrical engineering
- Artificial intelligence
His primary scientific interests are in Routing, Integrated circuit design, Physical design, Algorithm and Electronic engineering.
His research in Routing intersects with topics in Application-specific integrated circuit, Metric, Mathematical optimization, Floorplan and Integrated circuit layout.
His Integrated circuit design study incorporates themes from Place and route, Net, Steiner tree problem and Parallel computing.
The Physical design study combines topics in areas such as Distributed computing, Design for manufacturability and Benchmark.
His study on Algorithm also encompasses disciplines like
- Cluster analysis together with Netlist and Heuristic,
- Heuristics, which have a strong connection to Combinatorics and Graph partition.
The concepts of his Electronic engineering study are interwoven with issues in Delay calculation, Elmore delay, Clock skew, Clock network and Topology.
His most cited work include:
- Recent directions in netlist partitioning: a survey (578 citations)
- A clock distribution network for microprocessors (280 citations)
- The ISPD98 circuit benchmark suite (263 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Routing, Electronic engineering, Mathematical optimization, Algorithm and Integrated circuit design.
His Routing research incorporates elements of Metric, Physical design, Steiner tree problem, Very-large-scale integration and Integrated circuit layout.
His research integrates issues of Delay calculation, Elmore delay, Buffer and Interconnection in his study of Electronic engineering.
His Algorithm research includes themes of Heuristics, Set, Speedup and Cluster analysis.
His research investigates the connection between Cluster analysis and topics such as Netlist that intersect with problems in Theoretical computer science.
Charles J. Alpert has researched Integrated circuit design in several fields, including Process, Placement, Computer hardware and Slew rate.
He most often published in these fields:
- Routing (27.39%)
- Electronic engineering (22.17%)
- Mathematical optimization (21.74%)
What were the highlights of his more recent work (between 2009-2018)?
- Routing (27.39%)
- Electronic engineering (22.17%)
- Physical design (16.09%)
In recent papers he was focusing on the following fields of study:
Charles J. Alpert spends much of his time researching Routing, Electronic engineering, Physical design, Integrated circuit design and Real-time computing.
His Routing research includes elements of Distributed computing, Computer engineering, Metric, Steiner tree problem and Netlist.
His Metric research integrates issues from Mathematical optimization, Network topology, Application-specific integrated circuit and Data mining.
His Electronic engineering research incorporates elements of Lithography and Electrical engineering, Integrated circuit.
His Physical design research incorporates themes from Macro, Design flow and Benchmark.
His Integrated circuit design research is multidisciplinary, incorporating perspectives in Function, Process and Coupling.
Between 2009 and 2018, his most popular works were:
- The ISPD-2011 routability-driven placement contest and benchmark suite (93 citations)
- GLARE: global and local wiring aware routability evaluation (67 citations)
- MAPLE: multilevel adaptive placement for mixed-size designs (64 citations)
In his most recent research, the most cited papers focused on:
- Algorithm
- Electrical engineering
- Artificial intelligence
His main research concerns Routing, Physical design, Placement, Benchmark and Suite.
The various areas that he examines in his Routing study include Distributed computing and Metric.
His Physical design study frequently involves adjacent topics like Integrated circuit design.
Charles J. Alpert combines subjects such as Standard cell, Timing closure, Design closure and Parallel computing with his study of Placement.
His biological study spans a wide range of topics, including Smoothing, Algorithm, Reliability engineering and Electronic design automation.
Charles J. Alpert has included themes like Application-specific integrated circuit, Computer engineering, Real-time computing, Very-large-scale integration and Datapath in his Benchmark study.
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