Bbb: Simplifying persistent programming using battery-backed buffers
M Alshboul, P Ramrakhyani, W Wang… - … Symposium on High …, 2021 - ieeexplore.ieee.org
Non-volatile memory (NVM) is poised to augment or replace DRAM as main memory. With
the right abstraction and support, non-volatile main memory (NVMM) can provide an …
the right abstraction and support, non-volatile main memory (NVMM) can provide an …
GPU-initiated on-demand high-throughput storage access in the BaM system architecture
Graphics Processing Units (GPUs) have traditionally relied on the host CPU to initiate
access to the data storage. This approach is well-suited for GPU applications with known …
access to the data storage. This approach is well-suited for GPU applications with known …
FFCCD: fence-free crash-consistent concurrent defragmentation for persistent memory
Persistent Memory (PM) is increasingly supplementing or substituting DRAM as main
memory. Prior work have focused on reusability and memory leaks of persistent memory but …
memory. Prior work have focused on reusability and memory leaks of persistent memory but …
LITE: a low-cost practical inter-operable GPU TEE
There is a strong need for GPU trusted execution environments (TEEs) as GPU is
increasingly used in the cloud environment. However, current proposals either ignore …
increasingly used in the cloud environment. However, current proposals either ignore …
SecPB: Architectures for Secure Non-Volatile Memory with Battery-Backed Persist Buffers
The durability of data stored in persistent memory (PM) exposes data to potentially data
leakage attacks. Recent research has identified the requirements for crash recoverable …
leakage attacks. Recent research has identified the requirements for crash recoverable …
Application support and adaptation for high-throughput accelerator orchestrated fine-grain storage access
VS Mailthody - 2022 - ideals.illinois.edu
Abstract Accelerators like Graphics Processing Units (GPUs) have become popular compute
devices for HPC, cloud, and machine learning applications because of their compute …
devices for HPC, cloud, and machine learning applications because of their compute …
Scoped Buffered Persistency Model for GPUs
While the implications of persistent memory (PM) on CPU hardware and software are well-
explored, the same is not true for GPUs (Graphics Processing Units). A recent work, GPM …
explored, the same is not true for GPUs (Graphics Processing Units). A recent work, GPM …
Addressing Challenges in Utilizing GPUs for Accelerating Privacy-Preserving Computation
AWB Yudha - 2024 - stars.library.ucf.edu
Cloud computing increasingly handles confidential data, like private inference and query
databases. Two strategies are used for secure computation:(1) employing CPU Trusted …
databases. Two strategies are used for secure computation:(1) employing CPU Trusted …
Infrastructure to enable and exploit GPU orchestrated high-throughput storage access
Z Qureshi - 2022 - ideals.illinois.edu
Abstract Graphics Processing Units (GPUs) have traditionally relied on the CPU to
orchestrate access to the data storage. This approach is well-suited for GPU applications …
orchestrate access to the data storage. This approach is well-suited for GPU applications …
[图书][B] Efficient Crash Consistency in Emerging Secure Persistent Memory Architectures
A Freij - 2022 - search.proquest.com
Emerging non-volatile memory (NVM) is rapidly being integrated into modern systems,
offering a byte-addressable, high density alternative or complement to DRAM as main …
offering a byte-addressable, high density alternative or complement to DRAM as main …