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Accelerate Adoption Of High-Speed, Low-Latency, Cache-Coherent Standards Using Formal Verification


We continue to see huge growth in data and compute demand, fueled by increased global data traffic with the 5G rollout, the prevalence of streaming services, and expanded artificial intelligence and machine learning (AI/ML) applications. Several new industry-standard specifications have emerged in recent years to define the protocols of the underlying electronic components and IP building block... » read more

Data Center Evolution: Accelerating Computing With PCI Express 5.0


The PCI Express (PCIe) interface is the critical backbone that moves data at high bandwidth between various compute nodes such as CPUs, GPUs, FPGAs, and workload-specific accelerators. The rise of cloud-based computing and hyperscale data centers, along with high-bandwidth applications like artificial intelligence (AI) and machine learning (ML), have pushed PCIe 4 to its limits. In this white p... » read more

Data Overload In The Data Center


Dealing with increasing volumes of data inside of data centers requires an understanding of architectures, the flow of data between memory and processors, bandwidth, cache coherency and new memory types and interfaces. Gary Ruggles, senior product marketing manager at Synopsys, talks about how these systems are being revamped to improve performance and reduce power. » read more

PCI Express 5 vs. 4: What’s New?


What’s new about PCI Express 5 (PCIe 5)? The latest PCI Express standard, PCIe 5, represents a doubling of speed over the PCIe 4.0 specifications. We’re talking about 32 Gigatransfers per second (GT/s) vs. 16GT/s, with an aggregate x16 link bandwidth of almost 128 Gigabytes per second (GBps). This speed boost is needed to support a new generation of artificial intelligence (AI) and ma... » read more

Accelerating AI And ML Applications With PCIe 5


The rapid adoption of sophisticated artificial intelligence/machine learning (AI/ML) applications and the shift to cloud-based workloads has significantly increased network traffic in recent years. Historically, the intensive use of virtualization ensured that server compute capacity adequately met the need of heavy workloads. This was achieved by dividing or partitioning a single (physical) se... » read more