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pro vyhledávání: '"Mikko H. Lipasti"'
Autor:
Sooraj Puthoor, Mikko H. Lipasti
Publikováno v:
ACM Transactions on Architecture and Code Optimization.
This paper introduces turn-based spatiotemporal coherence. Spatiotemporal coherence is a novel coherence implementation that assigns write permission to epochs (or turns) as opposed to a processor core. This paradigm shift in the assignment of write
Publikováno v:
2022 International Conference on Compilers, Architecture, and Synthesis for Embedded Systems (CASES).
Autor:
Mikko H. Lipasti, Sooraj Puthoor
Publikováno v:
ACM Transactions on Architecture and Code Optimization. 18:1-27
Sequential consistency (SC) is the most intuitive memory consistency model and the easiest for programmers and hardware designers to reason about. However, the strict memory ordering restrictions imposed by SC make it less attractive from a performan
Publikováno v:
ACM Transactions on Architecture and Code Optimization. 17:1-26
A key requirement for efficient general purpose approximate computing is an amalgamation of flexible hardware design and intelligent application tuning, which together can leverage the appropriate amount of approximation that the applications engende
Publikováno v:
IEEE Computer Architecture Letters. 19:88-91
Applications suited to approximation often exhibit significant value locality, both in terms of inputs as well as outcomes. In this early stage proposal - the ODIN: Outcome Driven Input Navigated approach to value locality based approximation, we hyp
Publikováno v:
ACM Transactions on Architecture and Code Optimization. 16:1-25
Computer vision and machine learning algorithms operating under a strict power budget require an alternate computing paradigm. While bitstream computing (BC) satisfies these constraints, creating BC systems is difficult. To address the design challen
Publikováno v:
ISPASS
As proposed accelerators target finer-grained chunks of computation and data movement, it becomes increasingly important to couple them tightly with the processor, avoiding long invocation delays. However, the large implementation design space of the
Autor:
Mikko H. Lipasti, Ravi S. Raju
Publikováno v:
DSN Workshops
Recently, the field of adversarial machine learning has been garnering attention by showing that state-of-the-art deep neural networks are vulnerable to adversarial examples, stemming from small perturbations being added to the input image. Adversari
Publikováno v:
ISPASS
We present MicroGrad, a centralized automated framework that is able to efficiently analyze the capabilities, limits and sensitivities of complex modern processors in the face of constantly evolving application domains. MicroGrad uses Microprobe, a f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b27d78003be2f381f0792e956ddf285e
Publikováno v:
ACM Transactions on Embedded Computing Systems. 16:1-19
VLIW processors typically deliver high performance on limited budget making them ideal for a variety of communication and signal processing solutions. These processors typically need large multi-ported register files that can have side effects of inc