FlashGPU
| Autor: | Hyesoon Kim, Jie Zhang, Hyojong Kim, Miryeong Kwon, Myoungsoo Jung |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
010302 applied physics
Hardware_MEMORYSTRUCTURES CPU cache business.industry Computer science 02 engineering and technology 01 natural sciences 020202 computer hardware & architecture Embedded system 0103 physical sciences 0202 electrical engineering electronic engineering information engineering Latency (engineering) business Dram |
| Zdroj: | DAC |
| DOI: | 10.1145/3316781.3317827 |
| Popis: | We propose FlashGPU, a new GPU architecture that tightly blends new flash (Z-NAND) with massive GPU cores. Specifically, we replace global memory with Z-NAND that exhibits ultra-low latency. We also architect a flash core to manage request dispatches and address translations underneath L2 cache banks of GPU cores. While Z-NAND is a hundred times faster than conventional 3D-stacked flash, its latency is still longer than DRAM. To address this shortcoming, we propose a dynamic page-placement and buffer manager in Z-NAND subsystems by being aware of bulk and parallel memory access characteristics of GPU applications, thereby offering high-throughput and low-energy consumption behaviors. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|