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Digital Design Automation (EDA) workloads require excessive computing efficiency and a big reminiscence footprint. These workloads are delicate to quicker CPU efficiency and better clock speeds for the reason that quicker efficiency permits extra jobs to be accomplished on the decrease variety of cores. At AWS re:Invent 2020, we launched Amazon EC2 M5zn situations which use second-generation Intel Xeon Scalable (Cascade Lake) processors with an all-core turbo clock frequency of as much as 4.5 GHz, which is the quickest of any cloud occasion.
Our prospects have loved the excessive single-threaded efficiency, high-speed networking, and balanced memory-to-vCPU ratio of EC2 M5zn situations. They’ve requested for situations that may leverage these options whereas additionally offering them a larger reminiscence footprint per vCPU.
Immediately, we’re launching Amazon EC2 X2iezn situations, which use the identical Intel Xeon Scalable processors as M5zn situations, with an all-core turbo clock frequency of 4.5 GHz and as much as 1.5 TiB of reminiscence, which is the quickest of any cloud occasion for EDA workloads. These situations are able to delivering as much as 55 p.c higher price-performance per vCPU in comparison with X1e situations.
X2iezn situations provide 32 GiB of reminiscence per vCPU and can assist as much as 48 vCPUs and 1536 GiB of reminiscence. Constructed on the AWS Nitro, they ship as much as 100 Gbps of networking bandwidth and 19 Gbps of devoted Amazon EBS bandwidth to enhance efficiency for EDA functions.
You may need seen that we’re now utilizing the “i” suffix within the occasion sort to specify that the situations are utilizing an Intel processor, “e” within the memory-optimized occasion household to point prolonged reminiscence, “z” which signifies high-frequency processors, and “n” to assist increased community bandwidth as much as 100 Gbps.
X2iezn situations are VPC solely, HVM-only, and EBS-Optimized, with assist for Optimize vCPU. As you may see, the memory-to-vCPU ratio on these situations is similar as that of previous-generation X1e situations:
| Occasion Title | vCPUs | RAM (GiB) | Community Bandwidth (Gbps) | EBS-Optimized Bandwidth (Gbps) |
| x2iezn.2xlarge | 8 | 256 | As much as 25 | 3.170 |
| x2iezn.4xlarge | 16 | 512 | As much as 25 | 4.750 |
| x2iezn.6xlarge | 24 | 768 | 50 | 9.5 |
| x2iezn.8xlarge | 32 | 1024 | 75 | 12 |
| x2iezn.12xlarge | 48 | 1536 | 100 | 19 |
| x2iezn.steel | 48 | 1536 | 100 | 19 |
Many purchasers will be capable of profit from utilizing X2iezn situations to enhance efficiency and effectivity for his or her EDA workloads. Listed here are some examples:
- Annapurna Labs examined the X2iezn situations with Calibre’s Design Rule Checking, which has proven a 40 p.c quicker runtime in comparison with X1e situations, and a 25 p.c quicker runtime over R5d situations.
- Astera Labs is a fabless, cloud-based semiconductor firm growing purpose-built CXL, PCIe, and Ethernet connectivity options for data-centric methods. They had been in a position to see efficiency good points of as much as 25 p.c in comparison with comparable EDA workloads operating on R5 situations.
- Cadence examined the X2iezn situations utilizing their Pegasus True Cloud function, which permits designers to run bodily verification jobs on the cloud and noticed a 50 p.c efficiency enchancment over R5 situations. They see X2iezn situations as a superb atmosphere for testing EDA workloads.
- NXP Semiconductors labored with AWS to run their Calibre and Spectre workloads on Amazon EC2 X2iezn situations, which measured 10-15 p.c increased efficiency utilizing X2iezn situations in comparison with their on-premises, Xeon Gold 6254 with max turbo frequency of 4.0GHz.
- Siemens EDA labored with AWS to check the brand new Amazon EC2 X2iezn HPC/EDA centered situations with the business efficiency and sign-off chief Calibre evaluating superior node DRC workloads. They had been happy to exhibit efficiency enhancements of as much as 14% utilizing the 4.5 GHz all core turbo frequency of X2iezn situations for all VMs within the run. Moreover, they efficiently demonstrated using a heterogeneous server configuration utilizing the X2iezn as the first node and different decrease reminiscence VMs for distant compute – offering an 11% pace up and engaging worth. These outcomes confirmed the X2iezn is an effective match for major server EDA workloads for Calibre Bodily and Circuit verification functions.
- Synopsys IC Validator offers extremely scalable high-performance bodily verification signoff. They achieved 15 p.c efficiency enchancment, scalability to 1000s of cores, and 30 p.c higher effectivity utilizing IC Validator’s distinctive elastic CPU administration know-how versus R5d situations.
Issues to Know
Listed here are some enjoyable info concerning the X2iezn situations:
Optimizing CPU—You may disable Intel Hyper-Threading Know-how for workloads that carry out effectively with single-threaded CPUs, like some HPC functions.
NUMA—You can also make use of non-uniform reminiscence entry (NUMA) on x2iezn.12xlarge situations. This superior function is value exploring in case you have a deep understanding of your software’s reminiscence entry patterns.
Accessible Now
Amazon EC2 X2iezn situations at the moment are obtainable within the US East (N. Virginia), US West (Oregon), Asia Pacific (Tokyo), and Europe (Eire) Areas. You should use On-Demand Cases, Reserved Cases, Financial savings Plan, and Spot Cases. Devoted Cases and Devoted Hosts are additionally obtainable.
To study extra, go to our EC2 X2i Cases web page, and please ship suggestions to the AWS discussion board for EC2 or by your regular AWS Help contacts.
– Channy
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