Many applications use vector operations by applying single instruction to multiple data that map to different locations in conventional memory. Transferring data from memory is limited by access latency and bandwidth affecting the performance gain of vector processing. We present a memory system that makes all of its content available to processors in time so that processors need not to access the memory, we force each location to be available to all processors at a specific time. The data move in different orbits to become available to other processors in higher orbits at different time. We use this memory to apply parallel vector operations to data streams at first orbit level. Data processed in the first level move to upper orbit one dat...
Shows that instruction-level parallelism (ILP) and data-level parallelism (DLP) can be merged in a s...
Modern computers will increasingly rely on parallelism to achieve high computation rates. Techniques...
The goal of this paper is to show that instruction level parallelism (ILP) and data-level parallelis...
Many applications use vector operations by applying single instruction to multiple data that map to ...
Simultaneous multithreaded vector architectures combine the best of data-level and instruction-level...
Memory system efficiency is crucial for any processor to achieve high performance, especially in the...
The Vector Processor is a Single-Instruction Multiple-Data (SIMD) parallel processing system based o...
On many commercial supercomputers, several vector register processors share a global highly interlea...
This paper presents mathematical foundations for the design of a memory controller subcomponent that...
Loop vectorization, a key feature exploited to obtain high perfor-mance on Single Instruction Multip...
Orbit enumerations represent an important class of mathematical algorithms which is widely used in c...
Vectorization is key to performance on modern hardware. Almost all architectures include some form o...
Today’s computer systems develop towards less energy consumption while keeping high performance. The...
Abstract. Orbit enumerations represent an important class of mathemat-ical algorithms which is widel...
The purpose of this paper is to show that multi-threading techniques can be applied to a vector proc...
Shows that instruction-level parallelism (ILP) and data-level parallelism (DLP) can be merged in a s...
Modern computers will increasingly rely on parallelism to achieve high computation rates. Techniques...
The goal of this paper is to show that instruction level parallelism (ILP) and data-level parallelis...
Many applications use vector operations by applying single instruction to multiple data that map to ...
Simultaneous multithreaded vector architectures combine the best of data-level and instruction-level...
Memory system efficiency is crucial for any processor to achieve high performance, especially in the...
The Vector Processor is a Single-Instruction Multiple-Data (SIMD) parallel processing system based o...
On many commercial supercomputers, several vector register processors share a global highly interlea...
This paper presents mathematical foundations for the design of a memory controller subcomponent that...
Loop vectorization, a key feature exploited to obtain high perfor-mance on Single Instruction Multip...
Orbit enumerations represent an important class of mathematical algorithms which is widely used in c...
Vectorization is key to performance on modern hardware. Almost all architectures include some form o...
Today’s computer systems develop towards less energy consumption while keeping high performance. The...
Abstract. Orbit enumerations represent an important class of mathemat-ical algorithms which is widel...
The purpose of this paper is to show that multi-threading techniques can be applied to a vector proc...
Shows that instruction-level parallelism (ILP) and data-level parallelism (DLP) can be merged in a s...
Modern computers will increasingly rely on parallelism to achieve high computation rates. Techniques...
The goal of this paper is to show that instruction level parallelism (ILP) and data-level parallelis...