www.dei.unipd.it/~silvest1 Communication is a major factor determining the performance of algorithms on current parallel computing systems. Reducing the communication requirements of algorithms is then of paramount importance, if they have to run efficiently on physical machines. Recognition of this fact has motivated a large body of results in algorithm design and analysis, but these results do not yet provide a coherent and unified theory of the communication requirements of computations. One major obstacle toward such a theory lies in the fact that communication is defined only with respect to a specific mapping of a computation onto a specific machine structure. Furthermore, the impact of communication on performance depends on the late...
Parallelizing large sized problem in parallel systems has always been a challenge for programmer. Th...
This paper considers the problem of creating message-passing protocols for parallel computers. It is...
Developing efficient programs for distributed systems is difficult because computations must be effi...
A framework is proposed for the design and analysis of network-oblivious algorithms, namely algorith...
. Efficient communication in networks is a prerequisite to exploit the performance of large parallel...
AbstractIn the theory of dissemination of information in interconnection networks (gossiping and bro...
We address the design of algorithms for multicores that are oblivious to machine parameters. We prop...
We address the design of algorithms for multicores that are oblivious to machine parameters. We prop...
In distributed optimization and machine learning, multiple nodes coordinate to solve large problems....
Distributed machine learning bridges the traditional fields of distributed systems and machine learn...
In this paper we propose a new approach to the study of the communication requirements of distribute...
Efficient data motion has been critical in high performance computing for as long as computers have ...
The hierarchical organization of the memory and communication systems and the availability of numero...
This paper describes a number of optimizations that can be used to support the efficient execution o...
Abstract. Oblivious RAM (ORAM) is a cryptographic primitive that allows a trusted CPU to securely ac...
Parallelizing large sized problem in parallel systems has always been a challenge for programmer. Th...
This paper considers the problem of creating message-passing protocols for parallel computers. It is...
Developing efficient programs for distributed systems is difficult because computations must be effi...
A framework is proposed for the design and analysis of network-oblivious algorithms, namely algorith...
. Efficient communication in networks is a prerequisite to exploit the performance of large parallel...
AbstractIn the theory of dissemination of information in interconnection networks (gossiping and bro...
We address the design of algorithms for multicores that are oblivious to machine parameters. We prop...
We address the design of algorithms for multicores that are oblivious to machine parameters. We prop...
In distributed optimization and machine learning, multiple nodes coordinate to solve large problems....
Distributed machine learning bridges the traditional fields of distributed systems and machine learn...
In this paper we propose a new approach to the study of the communication requirements of distribute...
Efficient data motion has been critical in high performance computing for as long as computers have ...
The hierarchical organization of the memory and communication systems and the availability of numero...
This paper describes a number of optimizations that can be used to support the efficient execution o...
Abstract. Oblivious RAM (ORAM) is a cryptographic primitive that allows a trusted CPU to securely ac...
Parallelizing large sized problem in parallel systems has always been a challenge for programmer. Th...
This paper considers the problem of creating message-passing protocols for parallel computers. It is...
Developing efficient programs for distributed systems is difficult because computations must be effi...