Blog Review: March 31


Arm's Pavel Rudko considers several common approaches used to get better performance for neural network inference on mobile devices, such as optimizing and pruning the model and using different processing units to execute different workloads in parallel. Siemens EDA's Ray Salemi introduces basic concepts of using Python for verification and how to get Python to talk to an RTL device-under-te... » read more

Computing Where Data Resides


Computational storage is starting to gain traction as system architects come to grips with the rising performance, energy and latency impacts of moving large amounts of data between processors and hierarchical memory and storage. According to IDC, the global datasphere will grow from 45 zettabytes in 2019 to 175 by 2025. But that data is essentially useless unless it is analyzed or some amou... » read more

Waiting For Chiplet Standards


The need and desire for chiplets is increasing, but for most companies that shift will happen slowly until proven standards are in place. Interoperability and compatibility depend on many layers and segments of the supply chain coming to agreement. Unfortunately, fragmented industry requirements may lead to a plethora of solutions. Standards always have enabled increasing specialization. ... » read more

Blog Review: March 24


Arm's Brian Cline points to a project with GlobalFoundries to demonstrate the feasibility and readiness of high-density, face-to-face, wafer-bonded 3D stacking technologies for high performance, energy-efficient designs. Synopsys' Taylor Armerding warns that while supply chain security risks aren't new, the recent SolarWinds breach should make everyone pay much more attention to dependencies... » read more

The EV Era Has Begun: Here Are Five Things We Need For It To Succeed


The EV era has officially begun. General Motors says it will eliminate gas and diesel cars and SUVs from its lineup by 2035 while Ford will go all electric in Europe by 2030. The UK issued plans for phasing out diesel and gas cars by 2035 and then moved it forward to 2030. Fleet customers such as UPS and Amazon are ordering zero emissions delivery vehicles by the thousands and investing in s... » read more

Domain-Specific Memory


Domain-specific computing may be all the rage, but it is avoiding the real problem. The bigger concern is the memories that throttle processor performance, consume more power, and take up the most chip area. Memories need to break free from the rigid structures preferred by existing software. When algorithms and memory are designed together, improvements in performance are significant and pr... » read more

Tradeoffs To Improve Performance, Lower Power


Generic chips are no longer acceptable in competitive markets, and the trend is growing as designs become increasingly heterogeneous and targeted to specific workloads and applications. From the edge to the cloud, including everything from vehicles, smartphones, to commercial and industrial machinery, the trend increasingly is on maximizing performance using the least amount of energy. This ... » read more

MRAM Evolves In Multiple Directions


Magnetoresistive RAM (MRAM) is one of several new non-volatile memory technologies targeting broad commercial availability, but designing MRAM into chips and systems isn't as simple as adding other types of memory. MRAM isn’t an all-things-for-all-applications technology. It needs to be tuned for its intended purpose. MRAMs targeting flash will not do as well targeting SRAMs, and vice vers... » read more

Blog Review: March 10


Siemens EDA's Harry Foster checks out how the maturity of verification processes impact bug escapes in FPGA designs and whether safety critical development processes prevent bugs from escaping to silicon. Synopsys' Dennis Kengo Oka examines the weaknesses and vulnerabilities in automotive keyless entry systems and how security researchers hacked the Tesla Model X key fob. Cadence's Paul M... » read more

A Layered Approach To High Performance Device Virtualization


The complexity and performance requirements of computing systems have been growing and demands are further driven by applications, such as ML and the everything-connected world of IoT with many billions of connected devices. Arm has developed a virtualization and accelerator strategy to address this, which we discuss in this white paper from our Architecture and Technology Group A layered... » read more

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