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Alok Garg

Researcher at Advanced Micro Devices

Publications -  17
Citations -  273

Alok Garg is an academic researcher from Advanced Micro Devices. The author has contributed to research in topics: Queue & Cache. The author has an hindex of 8, co-authored 16 publications receiving 269 citations. Previous affiliations of Alok Garg include University of Rochester & Complutense University of Madrid.

Papers
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Proceedings ArticleDOI

An intra-chip free-space optical interconnect

TL;DR: This paper proposes and study the design of a fully distributed interconnect architecture based on free-space optics that avoids packet relay altogether, offers an ultra-low transmission latency and scalable bandwidth, and provides fresh opportunities for coherency substrate designs and optimizations.
Proceedings ArticleDOI

A performance-correctness explicitly-decoupled architecture

TL;DR: This paper proposes to separate performance goals from the correctness goal using an explicitly-decoupled architecture and shows that such a decoupled design allows significant optimization benefits and is much less sensitive to conservatism applied in the correctness domain.
Journal ArticleDOI

Injection-Locked Clocking: A Low-Power Clock Distribution Scheme for High-Performance Microprocessors

TL;DR: Injection-locked clocking (ILC) is proposed to combat deteriorating clock skew and jitter, and reduce power consumption in high-performance microprocessors, and is fully compatible with conventional clock distribution networks.
Journal ArticleDOI

A 3-D Integrated Intrachip Free-Space Optical Interconnect for Many-Core Chips

TL;DR: This letter presents a new optical interconnect system for intrachip communications based on free-space optics that provides all-to-all direct communications using dedicated lasers and photodetectors, hence avoiding packet switching while offering ultra-low latency and scalable bandwidth.
Journal ArticleDOI

Slackened Memory Dependence Enforcement: Combining Opportunistic Forwarding with Decoupled Verification

TL;DR: This paper moves away from the conventional exact disambiguation strategy and adopts an opportunistic method, which completely eliminates the necessity of real-time violation detection and thus avoids the conventional approach's complexity and the associated scalability issue.