M. Jung

Storage applications leveraging Solid State Disk (SSD) technology are being widely deployed in diverse computing systems. These applications accelerate system performance by exploiting several SSD-specific characteristics. However, modern SSDs have undergone a dramatic technology and architecture shift in the past few years, which makes widely held assumptions and expectations regarding them highly questionable. The main goal of this paper is to question popular assumptions and expectations rega

Garbage collection (GC) and resource contention on I/O buses (channels) are among the critical bottlenecks in Solid State Disks (SSDs) that cannot be easily hidden. Most existing I/O scheduling algorithms in the host interface logic (HIL) of state-of-the-art SSDs are oblivious to such low-level performance bottlenecks in SSDs. As a result, SSDs may violate quality of service (QoS) requirements by not being able to meet the deadlines of I/O requests. In this paper, we propose a novel host interfa

Resource utilization is one of the emerging problems in many-chip SSDs. In this paper, we propose Sprinkler, a novel device-level SSD controller, which targets maximizing resource utilization and achieving high performance without additional NAND flash chips. Specifically, Sprinkler relaxes parallelism dependency by scheduling I/O requests based on internal resource layout rather than the order imposed by the device-level queue. In addition, Sprinkler improves flash-level parallelism and reduces

NAND flash storage has proven to be a competitive alternative to traditional disk for its properties of high random-access speeds, low-power and its presumed efficacy for random-reads. Ironically, we demonstrate that when packaged in SSD format, there arise many barriers to reaching full parallelism in reads, resulting in random writes out-performing them. Motivated by this, we propose Physically Addressed Queuing (PAQ), a request scheduler that avoids resource contention resultant from shared S

Exploiting internal parallelism over hundreds NAND flash memory is becoming a key design issue in high-speed Solid State Disks (SSDs). In this work, we simulated a cycle-accurate SSD platform with twenty four page allo-cation strategies, geared toward exploiting both system-level parallelism and flash-level parallelism with a variety of design parameters. Our extensive experimental anal-ysis reveals that 1) the previously-proposed channel-and-way striping based page allocation scheme is not the

Compute express link (CXL) is the first open multi-protocol method to support cache coherent interconnect for different processors, accelerators, and memory device types. Even though CXL manages data coherency mainly between CPU memory spaces and memory on attached devices, we argue that it can also be useful to reform existing block storage as cost-efficient, large-scale working memory. Specifically, this paper examines three different sub-protocols of CXL from a memory expander viewpoint. It t

Existing solid state drive (SSD) simulators unfortunately lack hardware and/or software architecture models. Consequently, they are far from capturing the critical features of contemporary SSD devices. More importantly, while the performance of modern systems that adopt SSDs can vary based on their numerous internal design parameters and storage-level configurations, a full system simulation with traditional SSD models often requires unreasonably long runtimes and excessive computational resourc

As NAND flash memory becomes popular in diverse areas ranging from embedded systems to high performance computing, exposing and understanding flash memory's performance, energy consumption, and reliability becomes increasingly important. Moreover, with an increasing trend towards multiple-die, multiple-plane architectures and high speed interfaces, high performance NAND flash memory systems are expected to continue to scale. This scaling should further reduce costs and thereby widen proliferatio

Resistive Random Access Memory (RRAM) is a promising next generation non-volatile memory (NVM) technology, thanks to its performance potential, endurance and ease-of-integration with standard silicon CMOS processes. While prior work has evaluated RRAM as a replacement for DRAM or even cache memory, to our knowledge there is no prior study that has investigated whether RRAM could be a viable NAND flash replacement in building large-scale storage-class memory systems. Motivated by this observation

Storage applications leveraging Solid State Disk (SSD) technology are being widely deployed in diverse computing systems. These applications accelerate system performance by exploiting several SSD-specific characteristics. However, modern SSDs have undergone a dramatic technology and architecture shift in the past few years, which makes widely held assumptions and expectations regarding them highly questionable. The main goal of this paper is to question popular assumptions and expectations rega

NAND flash storage has proven to be a competitive alternative to traditional disk for its properties of high random-access speeds, low-power and its presumed efficacy for random-reads. Ironically, we demonstrate that when packaged in SSD format, there arise many barriers to reaching full parallelism in reads, resulting in random writes outperforming them. Motivated by this, we propose Physically Addressed Queuing (PAQ), a request scheduler that avoids resource contention resultant from shared SS

Solid State Disk (SSD) arrays are in a position to (as least partially) replace spinning disk arrays in high performance computing (HPC) systems due to their better performance and lower power consumption. However, these emerging SSD arrays are facing enormous challenges, which are not observed in disk-based arrays. Specifically, we observe that the performance of SSD arrays can significantly degrade due to various array-level resource contentions. In addition, their maintenance costs exponentia

Garbage collection (GC) and resource contention on I/O buses (channels) are among the critical bottlenecks in Solid State Disks (SSDs) that cannot be easily hidden. Most existing I/O scheduling algorithms in the host interface logic (HIL) of state-of-the-art SSDs are oblivious to such low-level performance bottlenecks in SSDs. As a result, SSDs may violate quality of service (QoS) requirements by not being able to meet the deadlines of I/O requests. In this paper, we propose a novel host interfa