Add to ORKGMemory, as a shared resource, has always been a high latency and bandwidth limited bottleneck of the execution pipeline in multi-core systems. This project analyzes data reordering in multi-dimensional arrays for a more ecient memory allocation method to improve cache utilization and reduce memory access bandwidth. While single-threaded run-time improvements are limited, we demonstrate up to 30% improved run-time and energy consumption in multi-threaded applications when the processing cores are competing for cache space and memory bandwidth
The widening gap between the processor clock speed and the memory latency puts an added pressure on ...
Computing workloads often contain a mix of interac-tive, latency-sensitive foreground applications a...
Computing workloads often contain a mix of interactive, latency-sensitive foreground applications an...
Cache memory is one of the most important components of a computer system. The cache allows quickly...
Memory subsystem with larger capacity and deeper hierarchy has been designed to achieve the maximum ...
The central data structures for many applications in scientific computing are large multidimensional...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Comp...
Minimizing power, increasing performance, and delivering effective memory bandwidth are today's prim...
Part 4: Memory System DesignInternational audienceIn the last decades, the increasing amount of reso...
Resource pooling, wheremultiple architectural components are shared among cores, is a promising tech...
This paper introduces a dynamic layout optimization strategy to minimize the number of cycles spent ...
The performance gap between processors and memory has grown larger and larger in the last years. Wit...
As applications become more and more complex, it is becoming extremely important to have sufficient ...
The bandwidth mismatch between processor and main memory is one major limiting problem. Although str...
Abstract—Resource pooling, where multiple architectural components are shared among multiple cores, ...
The widening gap between the processor clock speed and the memory latency puts an added pressure on ...
Computing workloads often contain a mix of interac-tive, latency-sensitive foreground applications a...
Computing workloads often contain a mix of interactive, latency-sensitive foreground applications an...
Cache memory is one of the most important components of a computer system. The cache allows quickly...
Memory subsystem with larger capacity and deeper hierarchy has been designed to achieve the maximum ...
The central data structures for many applications in scientific computing are large multidimensional...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Comp...
Minimizing power, increasing performance, and delivering effective memory bandwidth are today's prim...
Part 4: Memory System DesignInternational audienceIn the last decades, the increasing amount of reso...
Resource pooling, wheremultiple architectural components are shared among cores, is a promising tech...
This paper introduces a dynamic layout optimization strategy to minimize the number of cycles spent ...
The performance gap between processors and memory has grown larger and larger in the last years. Wit...
As applications become more and more complex, it is becoming extremely important to have sufficient ...
The bandwidth mismatch between processor and main memory is one major limiting problem. Although str...
Abstract—Resource pooling, where multiple architectural components are shared among multiple cores, ...
The widening gap between the processor clock speed and the memory latency puts an added pressure on ...
Computing workloads often contain a mix of interac-tive, latency-sensitive foreground applications a...
Computing workloads often contain a mix of interactive, latency-sensitive foreground applications an...