Chip multicore processors (CMPs) have emerged as the dominant architecture choice for
modern computing platforms and will most likely continue to be dominant well into the …

High-demand LLM inference services (eg, ChatGPT and BARD) support a wide range of
requests from short chat conversations to long document reading. To ensure that all client …

User-facing, latency-sensitive services, such as websearch, underutilize their computing
resources during daily periods of low traffic. Reusing those resources for other tasks is rarely …

As much of the world's computing continues to move into the cloud, the overprovisioning of
computing resources to ensure the performance isolation of latency-sensitive tasks, such as …

Modern DRAMs have multiple banks to serve multiple memory requests in parallel.
However, when two requests go to the same bank, they have to be served serially …

Memory bandwidth in modern multi-core platforms is highly variable for many reasons and is
a big challenge in designing real-time systems as applications are increasingly becoming …

In a modern chip-multiprocessor system, memory is a shared resource among multiple
concurrently executing threads. The memory scheduling algorithm should resolve memory …

Efficiently utilizing off-chip DRAM bandwidth is a critical issuein designing cost-effective,
high-performance chip multiprocessors (CMPs). Conventional memory controllers deliver …

In a chip-multiprocessor (CMP) system, the DRAM system isshared among cores. In a
shared DRAM system, requests from athread can not only delay requests from other threads …

Modern chip multiprocessor (CMP) systems employ multiple memory controllers to control
access to main memory. The scheduling algorithm employed by these memory controllers …