Many real-world applications involve storing and processing large amounts of data. These data sets need to be either stored over the memory hierarchy of one computer or distributed and processed over many parallel computing devices or both. In fact, in many such applications, choosing a realistic computation model proves to be a critical factor in obtaining practically acceptable solutions. In this chapter, we focus on realistic computation models that capture the running time of algorithms involving large data sets on modern computers better than the traditional RAM (and its parallel counterpart PRAM) model.German Science Foundation (DFG) Research Training Group GK-693 of the Paderborn Institute for Scientific Computation (PaSCo)MADALGO -...
A parameterized generic model that captures the features of diverse computer architectures would fac...
The associative memory (AM) system is a computing device made of hundreds of AM ASICs chips designed...
We consider three paradigms of computation where the benefits of a parallel solution are greater tha...
Many real-world applications involve storing and processing large amounts of data. These data sets n...
Many real-world applications involve storing and processing large amounts of data. These data sets n...
Abstract. The power of shared-memory in models of parallel computation is studied, and a novel distr...
The capability of the Random Access Machine (RAM) to execute any instruction in constant time is not...
For the design and analysis of algorithms that process huge data sets, a machine model is needed tha...
For the design and analysis of algorithms that process huge data sets, a machine model is needed tha...
A vast body of theoretical research hea focused either on overly SimpKStiC models of parallel comput...
First, we trace the history of models of computation (MoC) from the early days of computing to the ...
A bold vision that guided this work is as follows: (i) a parallel algorithms and programming course ...
The memories of real life computers usually have a hierarchical structure with levels like registers...
This thesis presents a unified approach to modeling of parallel architectures and algorithms with sp...
Most of the researches in algorithms are for reducing computational time complexity. Such researches...
A parameterized generic model that captures the features of diverse computer architectures would fac...
The associative memory (AM) system is a computing device made of hundreds of AM ASICs chips designed...
We consider three paradigms of computation where the benefits of a parallel solution are greater tha...
Many real-world applications involve storing and processing large amounts of data. These data sets n...
Many real-world applications involve storing and processing large amounts of data. These data sets n...
Abstract. The power of shared-memory in models of parallel computation is studied, and a novel distr...
The capability of the Random Access Machine (RAM) to execute any instruction in constant time is not...
For the design and analysis of algorithms that process huge data sets, a machine model is needed tha...
For the design and analysis of algorithms that process huge data sets, a machine model is needed tha...
A vast body of theoretical research hea focused either on overly SimpKStiC models of parallel comput...
First, we trace the history of models of computation (MoC) from the early days of computing to the ...
A bold vision that guided this work is as follows: (i) a parallel algorithms and programming course ...
The memories of real life computers usually have a hierarchical structure with levels like registers...
This thesis presents a unified approach to modeling of parallel architectures and algorithms with sp...
Most of the researches in algorithms are for reducing computational time complexity. Such researches...
A parameterized generic model that captures the features of diverse computer architectures would fac...
The associative memory (AM) system is a computing device made of hundreds of AM ASICs chips designed...
We consider three paradigms of computation where the benefits of a parallel solution are greater tha...