Memray Corporation

Korea Advanced Institute of Science and Technology

Yonsei University

Miryeong Kwon

Myoungsoo Jung

Gyuyoung Park

Donghyun Gouk

SangWon Lee

Jie Zhang

Junhyeok Jang

Seungkwan Kang

Hyunkyu Choi

SungJoon Koh

A processor of the computing device includes a plurality of cores and executes one or more instructions stored in a memory module including a non-volatile memory, thereby performing a stop procedure upon a power failure and performing a go procedure upon power recovery. In the stop procedure, the processor accesses process control blocks of processes being run, scheduling each process to a run queue of a corresponding first core among first cores included in the cores, removes the scheduled process from the run queue and makes the removed process wait in a waiting queue, executes an idle task, and stops a device included in the computing device.

Method of supporting persistence and computing device

Provided is an apparatus for accelerating graph neural network (GNN) pre-processing, the apparatus including a set-partitioning accelerator configured to sort each edge of an original graph stored in a coordinate list (COO) format by a node number, perform radix sorting based on a vertex identification (VID) to generate a COO array of a preset length, and perform uniform random sampling on some nodes of a given node array, a merger configured to merge the COO array of the preset length to generate one sorted COO array, a re-indexer configured to assign new consecutive VIDs respectively to the nodes selected through the uniform random sampling, and a compressed sparse row (CSR) converter configured to the edges sorted by the node number into a CSR format.

Method and apparatus for accelerating GNN pre-processing

A computational storage supporting graph machine learning acceleration includes a solid state drive (SSD) configured to store a graph data set; and a field-programmable gate array (FPGA) configured to download, to a memory, a graph machine learning model programmed in a form of a data flow graph by a host, wherein a hardware logic built in the FPGA performs access to the SSD through a peripheral component interconnect-express (PCIe) switch.

Computational SSD accelerating deep learning service on large-scale graphs

A memory controlling device configured to connect to a memory module including a resistance switching memory cell array which is partitioned into a plurality of partitions including a first partition and a second partition is provided. A first controlling module accesses the memory module. A second controlling module determines whether there is a conflict for the first partition to which a read request targets when an incoming request is the read request, instructs the first controlling module to read target data of the read request from the memory module when a write to the second partition is in progress, and suspends the read request when a write to the first partition is in progress.

Memory controlling device and memory system including the same

A first IP address is set to the host, and a second IP address is set to the storage card. A storage card includes a storage device and a processor for executing firmware. The host converts a first Ethernet packet including an ISP-related request and destined for the second IP address into an NVMe request according to an NVMe protocol, and transfers the NVMe request to the storage card. The firmware parses the NVMe request to perform the ISP-related request.

Computing device and storage card

A method of supporting persistence of a computing device is provided. The computing device performs a stop procedure upon power failure. In the stop procedure, the computing device schedules out a running process task, stores a state of the process task to a process control block of a memory module including a non-volatile memory, flushes a cache for the processor, and flushes a pending memory request.

Method and apparatus for supporting persistence and computing device

A memory controlling device of a computing device including a CPU, a memory, and a flash-based storage device is provided. The memory controlling device includes an address manager and an interface. The address manager aggregates a memory space of the memory and a storage space of the storage device into an expanded memory space, and handles a memory request for the expanded memory space from the CPU by using the memory space of the memory as a cache for the storage space of the storage device. The interface is used to access the memory and the storage device.

Memory controlling device and computing device including the same

A memory controlling device configured to connect to a first memory module including a resistance switching memory cell array which is partitioned into a plurality of partitions and a second memory module used for a cache is provided. A cache controller splits an address of a read request into at least a first cache index and a first tag, and determines whether the read request is a cache hit or a cache miss by referring to a lookup logic based on the first cache index and the first tag. The cache controller instructs the memory controller to read target data of the read request from the first memory module when the read request targets to the second partition in a case where the read request is the cache miss and a write to the first partition is in progress.

Growing community of inventors

Incheon, South Korea

Miryeong Kwon