Spatial processor architectures are essential to meet the increasing demand in performance and energy efficiency of both embedded and high performance computing systems. Due to the growing performance gap between memories and processors, the memory system of ten determines the overall performance and power consumption in silicon. The interdependency between memory system and spatial processor architectures suggests that they should be co-designed. For the same reason, state-of-The-Art design methodologies for processor architectures are ineffective for spatial processor architectures because they do not include the memory system. In this paper, we present μ-Genie: An automated framework for co-design-space exploration of spatial processor a...
Spatial Computing (SC) has been shown to be an energy-efficient model for implementing program kerne...
International audienceIn this paper, we show that various concepts and tools developed in the 90's i...
Parallel heterogeneous multiprocessor systems are often shunned in embedded system design, not only ...
Spatial processor architectures are essential to meet the increasing demand in performance and energ...
Spatial processor architectures are essential to meet the increasing demand in performance and energ...
Industry is increasingly turning to reconfigurable architectures like FPGAs and CGRAs for improved p...
International audienceThe current trend in electronics is to integrate more and more transistors on ...
We present a new parallel model of computation suitable for spatial architectures, for which the ene...
Abstract—Energy-efficiency has emerged as a major barrier to performance scalability for modern proc...
Functional units provide the backbone of any spatial accelerator by providing the computing resource...
Specialized accelerators can exploit spatial parallelism on both operations and data thanks to a ded...
Today's SoCs are complex designs with multiple embedded processors, memory subsystems, and applicati...
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Com...
A hardware implementation can bring orders of magnitude improvements in performance and energy cons...
Spatial computing architectures promise a major stride in performance and energy efficiency over the...
Spatial Computing (SC) has been shown to be an energy-efficient model for implementing program kerne...
International audienceIn this paper, we show that various concepts and tools developed in the 90's i...
Parallel heterogeneous multiprocessor systems are often shunned in embedded system design, not only ...
Spatial processor architectures are essential to meet the increasing demand in performance and energ...
Spatial processor architectures are essential to meet the increasing demand in performance and energ...
Industry is increasingly turning to reconfigurable architectures like FPGAs and CGRAs for improved p...
International audienceThe current trend in electronics is to integrate more and more transistors on ...
We present a new parallel model of computation suitable for spatial architectures, for which the ene...
Abstract—Energy-efficiency has emerged as a major barrier to performance scalability for modern proc...
Functional units provide the backbone of any spatial accelerator by providing the computing resource...
Specialized accelerators can exploit spatial parallelism on both operations and data thanks to a ded...
Today's SoCs are complex designs with multiple embedded processors, memory subsystems, and applicati...
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Com...
A hardware implementation can bring orders of magnitude improvements in performance and energy cons...
Spatial computing architectures promise a major stride in performance and energy efficiency over the...
Spatial Computing (SC) has been shown to be an energy-efficient model for implementing program kerne...
International audienceIn this paper, we show that various concepts and tools developed in the 90's i...
Parallel heterogeneous multiprocessor systems are often shunned in embedded system design, not only ...