Samsung Electronics Co., Ltd.

Janki Bhimani

Changho Choi

Jingpei Yang

Vijay Balakrishnan

Rajinikanth Pandurangan

Jianjian Huo

Jason Martineau

Hingkwan Huen

Manu Awasthi

Anand Subramanian

A system for parallel computing leveraging the use of a key value solid state drive. The system including a modified set of compiler directives that enable the use of parallel compute and data threads. The system may further include a concurrency manager to ensure that the parallel data threads are operated in a thread-safe manner.

Parallel key value based multithread machine learning leveraging KV-SSDS

A system and method of generating representative I/O. The system is configured to utilize representative I/O patterns stored in a pattern database. A user may select one or more patterns to perform I/O using. The patterns are modified according to user supplied parameters and multiple parameters are integrated into a single workload. I/O is then generated according to the workload and system performance may be measured.

Methods and systems for testing storage devices via a representative I/O generator

A method for providing a Bloom filter for a multi-stream enabled solid-state drive (SSD) is disclosed. The Bloom filter includes two Bloom filter arrays, a counter corresponding to the two Bloom filter arrays, and a masking logic. The method includes: inserting an element in one or more of the two Bloom filter arrays using a plurality of hash functions; and updating the counter based on the insertion of the element. The method further includes: updating the Bloom filter by inserting one or more additional elements in one or more of the two Bloom filter arrays and updating the counter; and masking a data stored in the Bloom filter with the one or more additional elements to pseudo delete the data using the masking logic and reduce a false positive rate of the Bloom filter.

System and method for identifying hot data and stream in a solid-state drive

A multi-streaming memory system includes a memory, and a processor coupled to the memory, the processor executing a software component that is configured to identify multiple attributes that are each related to logical block addresses (LBAs), and that each correspond to each of a plurality of streams of data writes, evaluate an importance factor for each of the attributes for each of the streams, and clustering two or more of the LBAs by assigning a stream ID to each of the LBAs based on all of the importance factors for each of the LBAs and the assigned stream.

Smart I/O stream detection based on multiple attributes

A system for scheduling the execution of container workloads from a series of applications and a series of containers of each application. The system includes a processor and a non-transitory computer-readable storage medium having instructions stored thereon, which, when executed by the processor, cause the system to calculate a conflict penalty matrix including a conflict penalty for each potential combination of container workloads of the plurality of containers, and calculate a minimum total conflict penalty of the container workloads and a number of workload batches for executing the container workloads. The number of workload batches is associated with the minimum total conflict penalty. The instructions, when executed by the processor, further cause the system to assign the container workloads to the workload batches based on the minimum total conflict penalty and the number of the workload batches.

Container workload scheduler and methods of scheduling container workloads

A system includes a plurality of storage drives configured to store data associated with at least one of homogeneous and heterogeneous applications running in containers; and a controller configured to balance workloads of the containers by grouping the containers based on characteristics of the workloads of the containers.

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Billerica, MA, United States of America

Janki Bhimani