TL;DR
This work presents Micro-threads ( Mth), a hardware-software proposal focused on a shared thread management model enabling the use of parallel resources in applications that have small chunks of parallel code or small problem inputs by a combination of software and hardware.
The conventional threading model multiplexes software threads onto hardware cores. This model inherently suffers from the overhead of 1) context switching, 2) scheduling, and 3) system event notifications (e.g., I/O interrupts). As computing enters μs-scale, such overheads become the key bottleneck of a wide range of d...
The continuous growth in processor speed and the persistent memory latency bottleneck make large-capacity cache critical for mitigating the “memory wall”. However, topology-oblivious OS scheduling frequently induces severe cache contention and cross-die migrations, diminishing these hardware benefits. To address this,...
Exo-GPU, an imperative, low-level language that creates minimal abstraction over CUDA, is proposed, to treat parallelism and synchronization as mere annotations on sequential code rather than as fundamental control flow primitives, enabling verification that these constructs do not alter the program semantics.
This paper presents an OpenMP-style parallelism API for Uxntal, the stack-based assembly-style language for the Uxn platform, and demonstrates that exemplar code using this API can run at comparable performance even on an integrated GPU.
Dolunay is introduced, a RISC-V-based Independent Thread Scheduling (ITS) SIMT accelerator that employs a cooperative multitasking model and explicit synchronization barriers at the hardware-level, and provides the forward-progress guarantees necessary to implement starvation-free algorithms.
(English) High-performance computing (HPC) platforms are evolving towards increasingly complex architectures: many-core CPUs with multi-level NUMA hierarchies, heterogeneity with multiple classes of accelerators and higher-capacity interconnects. The increasing complexity and variety of resources in these machines make...
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