DRAM systems are hierarchically organized: Channel-Rank-Bank. A channel is connected to multiple ranks, and each rank has multiple banks. This hierarchical structure facilitates creating parallelisms in DRAM. The current DRAM architecture supports bank-level parallelism; as many rows as banks can be moved simultaneously at bank-level. However, rank-level parallelism is not supported. For this reason, only one column can be accessed at a time, although each rank has its own data bus that can carry a column. Namely, current DRAM operations do not exploit the structural opportunity created by multiple ranks. We, therefore, propose a novel DRAM architecture supporting rank-level parallelism. Thereby, as many columns as ranks can be moved concurrently at rank-level. In this paper, we illustrate the rank-level parallelism and its benefit in DRAM operations.

The relatively high latency of DRAM is mostly caused by the long row-activation time which in fact consists of sensing and restoring time. Memory controllers cannot distinguish between them since they are performed consecutively by a single row-activation command. If these two steps are separated, the restoring can be delayed until DRAM access is uncongested. Hence, we propose Quick-Access DRAM (Q-DRAM) which discriminates between sensing and restoring. Our approach is to allow destructive access (i.e., only sensing is performed without restoring by a row-activation command) using per-bank multiple row-buffers. We call the destructive access and per-bank multiple row-buffers quick-access and quick-buffers (q-buffers) respectively. In addition, we propose Quick-access Trigger (Q-TRIGGER) and RESTORER to utilize Q-DRAM. Q-TRIGGER makes a decision whether quick-access is required or not, and RESTORER decides when to restore the data at the destructed cell. Specifically, RESTORER detects the proper timing to hide restoring time by predicting data bus occupation and by exploiting bank-level locality. Evaluations show that Q-DRAM significantly improved performance for both single- and multi-core systems.

It is widely known that relatively long DRAM latency forms a bottleneck in computing systems. However, DRAM vendors are strongly reluctant to decrease DRAM latency due to the additional manufacturing cost. Therefore, we set our goal to reduce DRAM latency without any modification in the existing DRAM structure. To accomplish our goal, we focus on an intrinsic phenomenon in DRAM: electric charge variation in DRAM cell capacitors. Then, we draw two key insights: i) DRAM row-access latency of a row is a function of the elapsed time from when the row was last refreshed, and ii) DRAM row-access latency of a row is also a function of the remaining time until the row is next refreshed. Based on these two insights, we propose two mechanisms to reduce DRAM latency: NUAT-1 and NUAT-2. NUAT-1 exploits the first key insight and NUAT-2 exploits the second key insight. For evaluation, circuit- and system-level simulations are performed, which show the performance improvement for various environments.

Several previous works have changed DRAM bank structure to reduce memory access latency and have shown performance improvement. However, changes in the area-optimized DRAM bank can incur large area-overhead. To solve this problem, we propose Multiple Clone Row DRAM (MCR-DRAM), which uses existing DRAM bank structure without any modification.