Learn more about BOW IP core
Chiplets are being universally used in highest performance SOC, ASICs and ASSP devices by large integrated Semiconductor companies to reduce costs and increase yields. However, we have not seen the expected rapid deployment of standardized Chiplet building blocks that designers can simply buy and deploy cost effectively, much faster than developing a traditional SOC.In this paper we review key roadblocks to rapid adoption and provide five detailed suggestions to overcome barriers.
This paper reverse engineers modern NVIDIA GPU cores, unveiling many key aspects of its design and explaining how GPUs leverage hardware-compiler techniques where the compiler guides hardware during execution. In particular, it reveals how the issue logic works including the policy of the issue scheduler, the structure of the register file and its associated cache, and multiple features of the memory pipeline.
The economics of a system-on-chip ASIC have evolved over the last decade, driven by forces such as cost to yield a transistor, wafer defect density and chip yield, and the drive for greater performance and efficiency. As process nodes continued to shrink from 28nm down to 3nm, we observed Moore’s Law begin to break down, and the cost to yield 100 million transistors normalized to 28nm was either flat or, arguably, increased.
This paper focuses on how direct RF sampling architecture has proved to be a felicitous approach for RF data conversion. The progress in converter technology has made it possible to increase the sampling rates and support very large bandwidth and multiple operating RF bands.
This paper presents a fast yet accurate end-to-end modeling approach for latency-sensitive many-core architectures, targeting large-scale instances such as TeraNoC with 1024 cores and a 4MiB globally shared L1 SPM. The approach captures timing behavior of latency-sensitive SPM accesses across multiple interconnect scales, while abstracting non-essential hardware details.
The authors present TeraPool, a physically implementable, >1000 floating-point-capable RISC-V PEs scaled-up cluster design, sharing a Multi-MegaByte >4000-banked L1 memory via a low latency hierarchical interconnect (1-7/9/11 cycles, depending on target frequency).
