公开(公告)号：US20250039045A1

公开(公告)日：2025-01-30

申请号：US18915524

申请日：2024-10-15

Applicant: Advanced Micro Devices, Inc.

Inventor： Jesse Barnes ,  Max Alt

IPC: H04L41/0823 ,  G06F9/48 ,  G06F9/50 ,  H04L12/46 ,  H04L47/70

Abstract: Systems, methods, and apparatuses are disclosed for implementation and management of a network of computing clusters and interfaces. In various examples, a dynamic supercomputing resource marketplace system includes a cluster network having one or more interconnected computing clusters. The dynamic supercomputing resource marketplace system includes a user interface system and/or an application program interface system for enabling a user to access the computing clusters. Advantageously, the dynamic supercomputing resource marketplace system facilitates increased utilization of computing clusters.

公开(公告)号：US20240354221A1

公开(公告)日：2024-10-24

申请号：US18760329

申请日：2024-07-01

Applicant: Advanced Micro Devices, Inc.

Inventor： Max Alt ,  Paulo Roberto Pereira de Souza filho

IPC: G06F11/36 ,  G06F8/41 ,  G06F16/23 ,  G06F16/245

CPC classification number: G06F11/3612 ,  G06F8/443 ,  G06F16/2379 ,  G06F16/245

Abstract: Systems and methods for building applications by automatically incorporating application performance data into the application build process are disclosed. By capturing build settings and performance data from prior applications being executed on different computing systems such as bare metal and virtualized cloud instances, a performance database may be maintained and used to predict build settings that improve application performance (e.g., on a specific computing system or computing system configuration).

公开(公告)号：US12242893B2

公开(公告)日：2025-03-04

申请号：US17405979

申请日：2021-08-18

Applicant: Advanced Micro Devices, Inc.

Inventor： Max Alt ,  Gabriel Martin

IPC: G06F9/46 ,  G06F9/50

Abstract: A system and method for ranking computing resources in a distributed computing marketplace is disclosed. Ranking may be based on the performance factors that the system predicts will have the greatest impact on the particular application the user plans to run. A performance database stores historical performance data for applications that have been executed on multiple different computer systems. The database is checked to see if the application, or one similar, has already been run on any of the computing systems participating in the distributed computing marketplace. If so, the existing performance data is used to predict which performance factors will have the greatest impact on the application. Those factors are then used to rank the available computing systems options for the user.

公开(公告)号：US11790435B2

公开(公告)日：2023-10-17

申请号：US17239537

申请日：2021-04-23

Applicant: Advanced Micro Devices, Inc.

Inventor： Jesse Barnes ,  Max Alt

IPC: G06Q30/00 ,  G06Q30/0601 ,  G06F9/50 ,  G06Q30/06

CPC classification number: G06Q30/0639 ,  G06F9/5022 ,  G06Q30/06 ,  G06Q30/0601 ,  G06Q30/0641

Abstract: Systems, methods and apparatuses are disclosed for implementation and management of a dynamic compute and application marketplace. The dynamic computer marketplace system can coordinate access to one or more other computing resources, including on-premises computing resources, external (or off-premises) computing resources or a combination thereof. In various embodiments, the dynamic computer marketplace system advantageously can be used to facilitate inter-provider migration, transparent pricing, and/or competitive pricing, among other things.

公开(公告)号：US12119993B2

公开(公告)日：2024-10-15

申请号：US17143111

申请日：2021-01-06

Applicant: Advanced Micro Devices, Inc.

Inventor： Jesse Barnes ,  Max Alt

IPC: H04L41/0823 ,  G06F9/48 ,  G06F9/50 ,  H04L12/46 ,  H04L47/70

CPC classification number: H04L41/0823 ,  G06F9/4843 ,  G06F9/5027 ,  H04L12/4641 ,  H04L47/82 ,  G06F2209/505

Abstract: Systems, methods, and apparatuses are disclosed for implementation and management of a network of computing clusters and interfaces. In various embodiment, a dynamic supercomputing resource marketplace system can include a cluster network having one or more interconnected computing clusters. The dynamic supercomputing resource marketplace system also can include a user interface system or an application program interface system for enabling a user to access the computing clusters. Advantageously, the dynamic supercomputing resource marketplace system can be used to facilitate increased utilization of computing clusters.

公开(公告)号：US11677681B1

公开(公告)日：2023-06-13

申请号：US17388503

申请日：2021-07-29

Applicant: Advanced Micro Devices, Inc.

Inventor： Max Alt ,  Paulo Roberto Pereira de Souza filho

IPC: G06F15/173 ,  H04L47/80 ,  H04L47/78 ,  H04L43/0852 ,  H04L43/0882 ,  H04L47/762

CPC classification number: H04L47/805 ,  H04L43/0858 ,  H04L43/0882 ,  H04L47/762 ,  H04L47/781

Abstract: Systems and methods for allocating computing resources within a distributed computing system are disclosed. Computing resources such as CPUs, GPUs, network cards, and memory are allocated to jobs submitted to the system by a scheduler. System configuration and interconnectivity information is gathered by a mapper and used to create a graph. Resource allocation is optimized based on one or more quality of service (QoS) levels determined for the job. Job performance characterization, affinity models, computer resource power consumption, and policies may also be used to optimize the allocation of computing resources.

公开(公告)号：US12130713B2

公开(公告)日：2024-10-29

申请号：US17583737

申请日：2022-01-25

Applicant: Advanced Micro Devices, Inc.

Inventor： Ian Ferreira ,  Max Alt

IPC: G06F11/00 ,  G06F11/14 ,  H04L67/00 ,  H04L67/104

CPC classification number: G06F11/1492 ,  G06F11/1441 ,  H04L67/1048 ,  H04L67/34

Abstract: A method for configuring replicas in a distributed computing system is disclosed. In one example embodiment, a plurality of replicas with associated bootstrap modules may be created. The same bootstrap module code may be used for each replica, thereby simplifying configuration. Using the bootstrap module, the replicas may automatically configure themselves and self-assign a role for a set of predetermined roles such as master and worker. The bootstrap module may check a predetermined location such as a shared network folder for earlier registration entries and then self-select based on the remaining available roles. The bootstrap module may also store its own registration entry to inform subsequent replicas of the role and network address for the current replica so that they may self-configure correctly.

公开(公告)号：US12026080B2

公开(公告)日：2024-07-02

申请号：US17404166

申请日：2021-08-17

Applicant: Advanced Micro Devices, Inc.

Inventor： Max Alt ,  Paulo Roberto Pereira de Souza filho

IPC: G06F11/36 ,  G06F8/41 ,  G06F16/23 ,  G06F16/245

CPC classification number: G06F11/3612 ,  G06F8/443 ,  G06F16/2379 ,  G06F16/245

Abstract: Systems and methods for building applications by automatically incorporating application performance data into the application build process are disclosed. By capturing build settings and performance data from prior applications being executed on different computing systems such as bare metal and virtualized cloud instances, a performance database may be maintained and used to predict build settings that improve application performance (e.g., on a specific computing system or computing system configuration).

公开(公告)号：US20230275849A1

公开(公告)日：2023-08-31

申请号：US18144941

申请日：2023-05-09

Applicant: Advanced Micro Devices, Inc.

Inventor： Max Alt ,  Paulo Roberto Pereira de Souza filho

IPC: H04L47/80 ,  H04L43/0852 ,  H04L43/0882 ,  H04L47/78 ,  H04L47/762

CPC classification number: H04L47/805 ,  H04L43/0858 ,  H04L43/0882 ,  H04L47/762 ,  H04L47/781

Abstract: Systems and methods for allocating computing resources within a distributed computing system are disclosed. Computing resources such as CPUs, GPUs, network cards, and memory are allocated to jobs submitted to the system by a scheduler. System configuration and interconnectivity information is gathered by a mapper and used to create a graph. Resource allocation is optimized based on one or more quality of service (QoS) levels determined for the job. Job performance characterization, affinity models, computer resource power consumption, and policies may also be used to optimize the allocation of computing resources.

公开(公告)号：US11714739B2

公开(公告)日：2023-08-01

申请号：US17404401

申请日：2021-08-17

Applicant: Advanced Micro Devices, Inc.

Inventor： Max Alt ,  Gabriel Martin ,  Paulo Roberto Pereira de Souza filho

IPC: G06F11/34 ,  G06N3/088

CPC classification number: G06F11/3428 ,  G06F11/3495 ,  G06N3/088

Abstract: A system and method for processing application performance using application phase differentiation and detection is disclosed. Phase detection may be accomplished in a number of different ways, including by using a deterministic algorithm that looks for changes in the computing resource utilization patterns (as detected in the performance data collected). Machine learning (ML) and neural networks (e.g. sparse auto encoder SAE) may also be used. Performance data is aggregated according to phase and stored in a database along with additional application and computing system information. This database may then be used to find similar applications for performance prediction.