标题： 面向内存专业化：长期和短期RAM的案例 显示英文标题

标题： Towards Memory Specialization: A Case for Long-Term and Short-Term RAM

摘要： SRAM和DRAM都已停止缩放：没有技术路线图可以降低它们的成本（每字节/GB）。 因此，内存现在主导了系统成本。 本文主张从当今简单的内存层次结构向专用内存架构的范式转变，以利用特定于应用程序的访问模式。 而不是仅仅依赖传统的外部DRAM和内部SRAM，我们设想配备了额外类型的内存的内存系统，其性能权衡通过非层次优化使工作负载受益。 我们提出了两种需要显式操作系统支持的新内存类别：针对具有长期寿命的读取密集型数据优化的长期RAM（LtRAM），以及针对具有短期寿命的临时、频繁访问数据设计的短期RAM（StRAM）。 我们探讨了可能实现这些类别的底层设备技术，包括它们的演变以及在新兴工作负载需求下将其集成到当前系统设计中的潜力。 我们确定了实现我们认为是向更高效和可扩展计算系统演进所必需的关键研究挑战，这些系统能够满足未来的需求。 显示英文摘要

摘要： Both SRAM and DRAM have stopped scaling: there is no technical roadmap to reduce their cost (per byte/GB). As a result, memory now dominates system cost. This paper argues for a paradigm shift from today's simple memory hierarchy toward specialized memory architectures that exploit application-specific access patterns. Rather than relying solely on traditional off-chip DRAM and on-chip SRAM, we envisage memory systems equipped with additional types of memory whose performance trade-offs benefit workloads through non-hierarchical optimization. We propose two new memory classes deserving explicit OS support: long-term RAM (LtRAM) optimized for read-intensive data with long lifetimes, and short-term RAM (StRAM) designed for transient, frequently-accessed data with short lifetimes. We explore underlying device technologies that could implement these classes, including their evolution and their potential integration into current system designs given emerging workload requirements. We identify critical research challenges to realize what we believe is a necessary evolution toward more efficient and scalable computing systems capable of meeting future demands.