Amazon Technologies, Inc.

Microsoft Technology Licensing, LLC

Prateek Tandon

Nafea Bshara

Asif Khan

Islam Mohamed Hatem Abdulfattah Mohamed Atta

Mark Bradley Davis

Christopher Joseph Pettey

David Edward Bryan

Kevin M Bailey

Brian Jacob Corell

Ismael Medrano

Kypros Constantinides

Ioana Galis

Kiran Kalkunte Seshadri

Bryan Wiehardt

The following description is directed to a logic repository service. In one example, a method of a logic repository service can include receiving a first request to generate configuration data for configurable hardware using a specification for application logic of the configurable hardware. The method can include generating the configuration data for the configurable hardware. The configuration data can include data for implementing the application logic. The method can include encrypting the configuration data to generate encrypted configuration data. The method can include signing the encrypted configuration data using a private key. The method can include transmitting the signed encrypted configuration data in response to the request.

Logic repository service using encrypted configuration data

A function processing service may receive a request to execute source code. The source code may include instructions to perform a function. The function processing service may determine whether at least one hardware acceleration condition has been satisfied for the function. If at least one hardware acceleration condition has been satisfied, the instructions in the source code may be translated into hardware-specific code corresponding to a hardware circuit. The hardware circuit may be configured based on the hardware-specific code, and the hardware circuit may perform the function. The function processing service may then provide the result obtained from the hardware circuit to the requesting entity.

Hardware acceleration for function processing

A server placement controller determines a placement location for a custom server based on infrastructure support system requirements of the custom server and based on infrastructure support system capacities at respective unoccupied slots of a server mounting structure of a data center. In some embodiments, a server placement controller may utilize a hierarchical optimization process to select a placement location for a custom server, wherein the selected placement location meets the requirements of the custom server while also optimizing use of one or more infrastructure support systems, such as power infrastructure support system, a networking infrastructure support system, a cooling infrastructure support system, or other infrastructure support systems of a data center.

Placement of custom servers

A server assembly service determines configurations for custom assembled servers based on time-series utilization metadata for servers executing workloads similar to workloads that are to be executed on the custom assembled servers. The server assembly service determines trends in the time-series utilization metadata and compares the identified trends to associations between workload utilization trends and application classes to determine one or more application classes for applications executing the workloads. The service uses the determined application classes to select server configurations for custom servers that are to be assembled to execute workloads similar to the workloads related to the server utilization metadata. In some embodiments, the service selects custom server configurations without access to applications or application data for workloads of concern. For example, the service may select custom server configurations without using profiling techniques that may intrude on customer privacy by requiring access to underlying applications or application data.

Custom server assembly

A near real-time custom server system includes robots deployed at a data center location and a server assembly controller configured to receive requests for near-real time custom servers. The requests may specify one or more characteristics for the custom servers and the server assembly controller may cause the robots deployed at the data center location to assemble the custom servers and install the custom servers in a server mounting structure of the data center in near real-time. For custom server types requested in lower volumes, the custom servers may be assembled autonomously by respective ones of the robots; and for custom server types requested in higher volumes, the custom servers may be assembled by respective groups of robots working in coordination with one another via an assembly line.

Near real-time custom server assembly

A portable server assembly system includes a container structure configured to be transported between data center locations, such as a shipping container. The portable server assembly system also includes a plurality of robots that are stowed in the container when being transported between data center locations, and that assemble servers when deployed at a particular data center location. In some embodiments, when a first data center location is substantially populated with servers assembled by the portable server assembly system (or another system), the portable server assembly system is re-deployed to another data center for use in assembling servers for populating the other data center.

Portable server assembly system

Technologies are provided for automatically performing multiple integrated circuit implementation runs with variations of input design constraints. Input design constraints can be automatically adjusted to create multiple modified versions of the design constraints. The multiple modified design constraints can be used to perform separate integrated circuit implementation runs for a given circuit design. Results of the multiple implementation runs can be analyzed, and a circuit implementation report can be generated based on the results of the runs performed with the various modified design constraints. In some embodiments, a circuit implementation recommendation can be generated based on the implementation run results. In at least some scenarios, the multiple implementation runs can be performed using multiple synthesis and implementation processes. The multiple synthesis and implementation processes can be distributed across one or more host computing devices.

Growing community of inventors

Issaquah, WA, United States of America

Prateek Tandon