His Paleontology research is linked to Context (archaeology) and Test (biology), among other subjects. His work on Context (archaeology) is being expanded to include thematically relevant topics such as Paleontology. His Statistics research is linked to Flexibility (engineering) and Regression analysis. His Flexibility (engineering) study frequently links to other fields, such as Statistics. His Machine learning study frequently links to other fields, such as Regression analysis and Selection (genetic algorithm). His Selection (genetic algorithm) study frequently draws connections to other fields, such as Machine learning. His work in Programming language is not limited to one particular discipline; it also encompasses Java concurrency. Borrowing concepts from Real time Java, he weaves in ideas under Java concurrency. His research links strictfp with Real time Java.
Many of his studies on Artificial intelligence apply to Pointer (user interface), Class (philosophy) and Object (grammar) as well. His Artificial intelligence research extends to Class (philosophy), which is thematically connected. The study of Programming language is intertwined with the study of Call graph in a number of ways. Atanas Rountev merges many fields, such as Java and Compiler, in his writings. While working in this field, he studies both Compiler and Java. In his work, Atanas Rountev performs multidisciplinary research in Algorithm and Theoretical computer science. He merges Theoretical computer science with Algorithm in his study. In his work, Atanas Rountev performs multidisciplinary research in Software and Software engineering. Atanas Rountev performs multidisciplinary study in Software engineering and Software development in his work.
While working in this field, Atanas Rountev studies both Operating system and Embedded system. Embedded system and Operating system are two areas of study in which he engages in interdisciplinary research. Android (operating system) is closely attributed to Android application in his research. Android application is closely attributed to Android (operating system) in his study. Programming language and Callback are two areas of study in which Atanas Rountev engages in interdisciplinary work. His research ties Computer network and Callback together. Atanas Rountev conducts interdisciplinary study in the fields of Computer network and Distributed computing through his research. He conducts interdisciplinary study in the fields of Distributed computing and Programming language through his research. His Computer security study frequently links to other fields, such as Stateful firewall.
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Parameterized object sensitivity for points-to analysis for Java
Ana Milanova;Atanas Rountev;Barbara G. Ryder.
ACM Transactions on Software Engineering and Methodology (2005)
Automatic transformations for communication-minimized parallelization and locality optimization in the polyhedral model
Uday Bondhugula;Muthu Baskaran;Sriram Krishnamoorthy;J. Ramanujam.
compiler construction (2008)
A compiler framework for optimization of affine loop nests for gpgpus
Muthu Manikandan Baskaran;Uday Bondhugula;Sriram Krishnamoorthy;J. Ramanujam.
international conference on supercomputing (2008)
Effective automatic parallelization of stencil computations
Sriram Krishnamoorthy;Muthu Baskaran;Uday Bondhugula;J. Ramanujam.
programming language design and implementation (2007)
Points-to analysis for Java using annotated constraints
Atanas Rountev;Ana Milanova;Barbara G. Ryder.
conference on object-oriented programming systems, languages, and applications (2001)
Parameterized object sensitivity for points-to and side-effect analyses for Java
Ana Milanova;Atanas Rountev;Barbara G. Ryder.
international symposium on software testing and analysis (2002)
Static control-flow analysis of user-driven callbacks in Android applications
Shengqian Yang;Dacong Yan;Haowei Wu;Yan Wang.
international conference on software engineering (2015)
Precise memory leak detection for java software using container profiling
Guoqing Xu;Atanas Rountev.
formal methods (2013)
Automatic data movement and computation mapping for multi-level parallel architectures with explicitly managed memories
Muthu Manikandan Baskaran;Uday Bondhugula;Sriram Krishnamoorthy;J. Ramanujam.
acm sigplan symposium on principles and practice of parallel programming (2008)
Off-line variable substitution for scaling points-to analysis
Atanas Rountev;Satish Chandra.
programming language design and implementation (2000)
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