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Dalvi Sagar

Publications -  5
Citations -  14

Dalvi Sagar is an academic researcher. The author has contributed to research in topics: Cache & Speculative execution. The author has an hindex of 2, co-authored 5 publications receiving 14 citations.

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Patent

Systems, apparatuses, and methods for platform security

TL;DR: In this paper, the authors describe a system comprising a manageability server to generate an encrypted sideband message having at least one command; a server including: a radio frequency identification (RFID) device, the RFID device to include storage to store at least 1 encrypted message with at least 2 commands, and a security circuit coupled to the RFID device.
Patent

Techniques for processor boot-up

TL;DR: In this paper, a processor can be configured to access boot firmware from a remote location independent from use of a chipset, without the need to use a physical link with the remote device.
Patent

Techniques to verify and authenticate resources in a data center computer environment

TL;DR: In this article, the results of an authentication and validation operation performed to authenticate and validate the physical resources of a sled are used to determine whether the results indicate that the resources are authenticate or not authenticate.
Patent

Apparatuses and methods for speculative execution side channel mitigation

TL;DR: In this article, indirect branch control mechanisms and their associated hardware are discussed, such as indirect branch restricted speculation (IBRS), single thread indirect branch predictors (STIBP), and indirect branch predictor barrier (IBPB), which prevent indirect branch predictions after the barrier from being controlled by software executed before the barrier.
Patent

Technologies for in-processor workload phase detection

TL;DR: In this article, the authors proposed a method for in-processor workload phase detection using a sled having a compute engine, which itself includes a performance monitor unit, which produces telemetry data indicative of performance metrics during execution of one or more workloads.