The Structured Memory Access (SMS) architecture implementation presented in this thesis is formulated with the intention of alleviating two well-known inefficiencies that exist in current scalar computer architectures: address generation overhead and memory bandwidth utilization. Furthermore, the SMA architecture introduces an additional level of parallelism which is not present in current pipelined supercomputers, namely, overlapped execution of the access process and execute process on two distinct special-purpose, asynchronously-coupled processors. Each processor executes a separate instruction stream to perform its specific task which, together, are functionally equivalent in a conventional program. Our simulation results show that, for...
Present-day parallel computers often face the problems of large software overheads for process switc...
Memory bandwidth is becoming the limiting performance factor for many applications, particularly sci...
The success of parallel computing in solving real-life computationally-intensive problems relies on ...
185 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1984.The structured memory access ...
124 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1982.When conventional von Neumann...
The work presented in this thesis investigates how existing and future computer architectures can be...
This paper presents mathematical foundations for the design of a memory controller subcomponent that...
In scalable multiprocessor architectures, the times required for a processor to access various porti...
The capability of the Random Access Machine (RAM) to execute any instruction in constant time is not...
Memory access time is a key factor limiting the performance of large-scale, shared-memory multiproce...
We are attacking the memory bottleneck by building a “smart ” memory controller that improves effect...
Performance and scalability of high performance scientific applications on large scale parallel mach...
Memory bandwidth is rapidly becoming the performance bottleneck in the application of high performan...
In this paper we identify the factors that affect the derivation of computation and data partitions ...
This paper discusses an approach to reducing memory latency in future systems. It focuses on systems...
Present-day parallel computers often face the problems of large software overheads for process switc...
Memory bandwidth is becoming the limiting performance factor for many applications, particularly sci...
The success of parallel computing in solving real-life computationally-intensive problems relies on ...
185 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1984.The structured memory access ...
124 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1982.When conventional von Neumann...
The work presented in this thesis investigates how existing and future computer architectures can be...
This paper presents mathematical foundations for the design of a memory controller subcomponent that...
In scalable multiprocessor architectures, the times required for a processor to access various porti...
The capability of the Random Access Machine (RAM) to execute any instruction in constant time is not...
Memory access time is a key factor limiting the performance of large-scale, shared-memory multiproce...
We are attacking the memory bottleneck by building a “smart ” memory controller that improves effect...
Performance and scalability of high performance scientific applications on large scale parallel mach...
Memory bandwidth is rapidly becoming the performance bottleneck in the application of high performan...
In this paper we identify the factors that affect the derivation of computation and data partitions ...
This paper discusses an approach to reducing memory latency in future systems. It focuses on systems...
Present-day parallel computers often face the problems of large software overheads for process switc...
Memory bandwidth is becoming the limiting performance factor for many applications, particularly sci...
The success of parallel computing in solving real-life computationally-intensive problems relies on ...