What is he best known for?
The fields of study he is best known for:
- Programming language
- Operating system
- Mathematical analysis
Albert Cohen mainly investigates Wavelet, Mathematical analysis, Compiler, Algorithm and Applied mathematics.
His Wavelet study integrates concerns from other disciplines, such as Grid, Numerical analysis and Pure mathematics.
His biological study spans a wide range of topics, including Function and Nonzero coefficients.
His studies deal with areas such as Nested loop join, Parallel computing, Theoretical computer science and Code generation as well as Compiler.
The study incorporates disciplines such as Multiresolution analysis and Elliptic case in addition to Algorithm.
His studies deal with areas such as Scheme and Orthonormal basis as well as Biorthogonal wavelet.
His most cited work include:
- Biorthogonal bases of compactly supported wavelets (2239 citations)
- Wavelets on the Interval and Fast Wavelet Transforms (872 citations)
- Compressed sensing and best k-term approximation (839 citations)
What are the main themes of his work throughout his whole career to date?
Albert Cohen focuses on Parallel computing, Compiler, Programming language, Wavelet and Mathematical analysis.
His Parallel computing study deals with Distributed computing intersecting with Task parallelism.
His Compiler research is multidisciplinary, relying on both Program transformation, Theoretical computer science and Code generation.
His Wavelet research is multidisciplinary, incorporating elements of Algorithm, Orthonormal basis and Applied mathematics.
His studies in Applied mathematics integrate themes in fields like Polynomial and Mathematical optimization.
His research in Mathematical analysis intersects with topics in Function and Rate of convergence.
He most often published in these fields:
- Parallel computing (26.01%)
- Compiler (23.48%)
- Programming language (14.14%)
What were the highlights of his more recent work (between 2015-2021)?
- Compiler (23.48%)
- Parallel computing (26.01%)
- Programming language (14.14%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Compiler, Parallel computing, Programming language, Affine transformation and Code generation.
Albert Cohen combines subjects such as Floating point, Theoretical computer science, Coprocessor, Set and Software with his study of Compiler.
His research integrates issues of Automatic parallelization, Memory management, Heuristics, Transformation and Memory footprint in his study of Parallel computing.
Albert Cohen has researched Affine transformation in several fields, including Convergence, Parametrization, Sobolev space and Algorithm, Integer programming.
While loop and Vectorization is closely connected to Loop nest optimization in his research, which is encompassed under the umbrella topic of Algorithm.
His Code generation research includes themes of Lustre and Static timing analysis.
Between 2015 and 2021, his most popular works were:
- Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions. (144 citations)
- Model Reduction and Approximation: Theory and Algorithms (122 citations)
- MLIR: A Compiler Infrastructure for the End of Moore's Law. (50 citations)
In his most recent research, the most cited papers focused on:
- Programming language
- Operating system
- Mathematical analysis
His main research concerns Parallel computing, Compiler, Affine transformation, Software and Transformation.
Albert Cohen has included themes like Loop nest optimization, Automatic parallelization, Heuristics, Linear programming and Scheduling in his Parallel computing study.
His Loop nest optimization research incorporates elements of Algorithm, For loop, Combinatorial explosion and Speedup.
His Compiler research incorporates themes from Theano, Theoretical computer science, Artificial intelligence and Code.
Albert Cohen usually deals with Theoretical computer science and limits it to topics linked to Program optimization and Domain.
His work deals with themes such as Cover, Hermite polynomials, Convergence, Degrees of freedom and Sobolev space, which intersect with Affine transformation.
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