This paper describes an architecture for a dynamically heterogeneous processor architecture leveraging 3D stack-ing technology. Unlike prior work in the 2D plane, the ex-tra dimension makes it possible to share resources at a ne granularity between vertically stacked cores. As a result, each core can grow or shrink resources, as needed by the code running on the core. This architecture, therefore, enables runtime customiza-tion of cores at a ne granularity and enables efcient exe-cution at both high and low levels of thread parallelism. This architecture achieves performance gains from 9-41%, depending on the number of executing threads, and gains signicant advantage in energy efciency of up to 43%. 1
Modern computer vision and image processing embedded systems exploit hardware acceleration inside s...
There’s no doubt that the fundamentals of computer programming were broken at the launch of the mu...
We present a new approach to utilizing all CPU cores and all GPUs on heterogeneous multicore and mul...
Abstract—Resource pooling, where multiple architectural components are shared among multiple cores, ...
Single-ISA heterogeneous multi-core processors are com-prised of multiple core types that are functi...
Resource pooling, wheremultiple architectural components are shared among cores, is a promising tech...
Abstract—Homogeneous multi-cores, while ubiquitous to-day, cannot provide the desired performance an...
Multi-core processors naturally exploit thread-level par-allelism (TLP). However, extracting instruc...
Multi-core processors naturally exploit thread-level parallelism (TLP). However, extracting instruct...
Abstract—This paper demonstrates a fully functional hard-ware and software design for a 3D stacked m...
GPU-based heterogeneous clusters continue to draw atten-tion from vendors and HPC users due to their...
The multi-core/many-core revolution has brought up a hardly precedented diversity in computer archit...
Widely adumbrated as patterns of parallel computation and communication, algorithmic skeletons intro...
A recent trend in modern high-performance computing environments is the introduction of powerful, en...
Computer systems are moving towards a heterogeneous architecture with a combination of one or more C...
Modern computer vision and image processing embedded systems exploit hardware acceleration inside s...
There’s no doubt that the fundamentals of computer programming were broken at the launch of the mu...
We present a new approach to utilizing all CPU cores and all GPUs on heterogeneous multicore and mul...
Abstract—Resource pooling, where multiple architectural components are shared among multiple cores, ...
Single-ISA heterogeneous multi-core processors are com-prised of multiple core types that are functi...
Resource pooling, wheremultiple architectural components are shared among cores, is a promising tech...
Abstract—Homogeneous multi-cores, while ubiquitous to-day, cannot provide the desired performance an...
Multi-core processors naturally exploit thread-level par-allelism (TLP). However, extracting instruc...
Multi-core processors naturally exploit thread-level parallelism (TLP). However, extracting instruct...
Abstract—This paper demonstrates a fully functional hard-ware and software design for a 3D stacked m...
GPU-based heterogeneous clusters continue to draw atten-tion from vendors and HPC users due to their...
The multi-core/many-core revolution has brought up a hardly precedented diversity in computer archit...
Widely adumbrated as patterns of parallel computation and communication, algorithmic skeletons intro...
A recent trend in modern high-performance computing environments is the introduction of powerful, en...
Computer systems are moving towards a heterogeneous architecture with a combination of one or more C...
Modern computer vision and image processing embedded systems exploit hardware acceleration inside s...
There’s no doubt that the fundamentals of computer programming were broken at the launch of the mu...
We present a new approach to utilizing all CPU cores and all GPUs on heterogeneous multicore and mul...