Shared last-level caches, widely used in chip-multiprocessors (CMPs), face two fundamental limitations. First, the latency and energy of shared caches degrade as the system scales up. Second, when.
Fortunately, earlier research has identified the Last Level Cache (LLC) as one of the major power consuming elements. Consequently, there have been several efforts towards reducing power consumption in LLCs. This paper presents a survey of recent contribution towards reducing power consumption in the LLC.
The results of this work have been published as a part of a research paper, “ARMageddon: Cache Attacks on Mobile Devices”, at the USENIX Secu-rity 2016 conference (50) and will be presented at the Black Hat Europe 2016 conference (51). 1.1 Motivation Although mobile devices have become the most important personal com-puting platform and cache attacks represent a powerful way to exploit the.The end of Dennard scaling has shifted the focus of performance enhancement in technology to power budgeting techniques, specifically in the nano-meter domain because, leakage power depletes the.Level 1 Cache. Level 1 caches tend to be zero wait state, and ideally a DSP kernel executes from cache for both instruction and data accesses. From: DSP for Embedded and Real-Time Systems, 2012. Related terms: Clock Cycle; Coherency; Memory Access; Processor Core; View all Topics. Download as PDF. Set alert. About this page. Microprocessors. Peng Zhang, in Advanced Industrial Control.
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Single-cycle-accessible Two-level Cache (STC) architecture proposed in this paper can resolve the problem in the conventional L0-cache based approach. Both a small L0 and a large L1 caches in our STC architecture can be accessed from an MPU core within a single cycle. A compilation technique for effectively utilizing the STC architecture is also presented in this paper. Experiments using.
This paper reports our research results that improve second level buffer cache performance. Several previous studies have shown that a good single level cache replacement algorithm such as LRU does not work well with second level buffer caches. Second level buffer caches have different access pattern from first level buffer caches because Accesses to second level buffer caches are actually.
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The time a program takes to execute is significantly affected by the efficiency with which it utilises cache memory. Moreover the cache miss behaviour of a program is highly unstable, in that small changes to input parameters can cause large changes in the number of misses. In this paper we describe novel analytical methods of predicting the cache miss ratio of numerical programs, for.
Level 2 Cache: A level 2 cache (L2 cache) is a CPU cache memory that is located outside and separate from the microprocessor chip core, although, it is found on the same processor chip package. Earlier L2 cache designs placed them on the motherboard which made them quite slow. Including L2 caches in microprocessor designs are very common in.
In this paper, we present Cache Template Attacks. This generic attack technique allows us to profile and exploit cache-based information leakage of any program automatically, without prior knowledge of specific software versions or even specific system information. Cache Template Attacks can be executed online on a remote system without any prior offline computations or measurements.
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On-chip caches on the modern processors provide a per-fect platform to mount side-channel and covert-channel at- tacks as attackers exploit the timing difference between a cache hit and a cache miss. A miss in the Last-level Cache (LLC) requires data to be fetched from the DRAM, provid-ing a measurable difference in latency compared to a hit in the LLC. Some of the common cache attacks follow.
The paper presents techniques which exploit recent magnetic disk-drive technological developments (such as the existence of embedded drive-level caches and powerful controllers, and the ever-increasing transfer rates). It contributes prefetching techniques into host- and drive-level caches to improve the maximum number of continuous data streams that a drive can support.
The effectiveness of level one (L1) caches is of great importance to the processor performance. We have observed that programs exhibit varying demands in the L1 instruction cache (I-cache) and data cache (D-cache) during execution, and such demands are notably different across programs. We propose to co-allocate the cache ways between the I- and D-cache in responses to the program’s need on.