NoC-enabled 3D Heterogeneous Manycore Systems for Big-Data Applications

被引:0
|
作者
Joardar, Biresh Kumar [1 ]
Doppa, Janardhan Rao [2 ]
Pande, Partha Pratim [2 ]
Chakrabarty, Krishnendu [1 ]
机构
[1] Duke Univ, Durham, NC USA
[2] Washington State Univ, Pullman, WA USA
基金
美国国家科学基金会;
关键词
3D; Heterogeneous; Manycore; NoC; GPU; ReRAM; STACKING; DESIGN;
D O I
10.1109/ISQED54688.2022.9806297
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
High-performance heterogeneous computing systems are suitable for big-data applications. However, the use of off-chip interconnects (e.g., PCIe in discrete CPU and GPU based systems) lead to relatively poor performance. Heterogeneous architectures where the different cores are connected via Network-on-Chip (NoC) can solve this problem. The use of Three-dimensional (3D) integration can further reduce this communication problem. 3D integration has frequently been described as a means to overcome scaling bottlenecks, and advance both "More Moore" and "More Than Moore" through the use of vertical interconnects and die/wafer stacking. In this paper, we present both the advantages and the various design challenges in 3D-enabled heterogeneous manycore systems.
引用
收藏
页码:381 / 386
页数:6
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