on execution time regardless of other thread activity. Virtual Private Caches (VPCs) are an important element of VPMs, and VPC hardware consists of two major components: the VPC Arbiters, which manage shared resource bandwidth, and the VPC Capacity Manager. Both the VPC Arbiter and VPC Capacity Manager provide

In this paper, we study massively parallel algorithms for private-cache chip multiprocessors (CMPs), focusing on methods for foundational problems that can scale to hundreds or even thousands of cores. By focusing on private-cache CMPs, we show that we can design efficient algorithms that need

Abstract—Chip Multi Processor (CMP) systems present interesting design challenges at the lower levels of the cache hierarchy. Private L2 caches allow easier processor-cache design reuse, thus scaling better than a system with a shared L2 cache, while offering better performance isolation and lower

This paper presents a cache coherence solu-tion for multiprocessors organized around a single time-shared bus. The solution aims at reducing bus traffic and hence bus wait time. This in turn increases the overall processor utilization. Unlike most traditional high-performance coherence solutions

The number of cores in a single chip multiprocessor is expected to grow in coming years. Likewise, aggregate on-chip cache capacity is increasing fast and its effective utilization is becoming ever more important. Furthermore, available cores are expected to be underutilized due to the power wall

with a multi-level cache hierarchy. Our experimental results show that for the private L1 caches, the LRU (Least Recently Used) replacement policy outperforms all of the other replacement policies. This is in contrast to what was observed in previous studies for the shared L2 cache. The results presented

(exhausIve ßà   empirically)   Design  and  implement  SW  mechanisms  (access protocols,   memory  mappings,   ….)   or  HW. 1. Introduc-on:   Microcontrollers  and  technical evoluIon 2. Shared  memory  in  mul-cores:   Cost  reducIon  vs Predictability 3. Controlling  applica-ons  at  run-‐-me:   Memory access control  for  hard  real-‐Ime  and  best-‐effort applicaIons running  in  parallel 4. Conclusion 3 Microcontrollers and  technical

Abstract—The parallel external memory (PEM) model has been used as a basis for the design and analysis of a wide range of algorithms for private-cache multi-core architectures. As a tool for developing geometric algorithms in this model, a parallel version of the I/O-efficient distribution sweeping

We study techniques for obtaining efficient algorithms for geometric problems on private-cache chip multiprocessors. We show how to obtain optimal algorithms for interval stabbing counting, 1-D range counting, weighted 2-D dominance counting, and for computing 3-D maxima, 2-D lower envelopes, and 2

Abstract—The parallel external memory (PEM) model has been used as a basis for the design and analysis of a wide range of algorithms for the private-cache multi-core architectures. Recently a parallel version of the distribution sweeping framework was introduced to efficiently solve a number