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Sadia Sharif

dblp:39/2730 · DBLP profile ↗
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3ranked-venue papers
1as first author
0since 2021 · last 2006
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 2 · 1 first-authorSystems, architecture and hardware · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
2 papers
Interconnection networks and networks-on-chip · 35% Parallel and multicore computing · 35% Processor architecture and microarchitecture · 30%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Processor architecture and microarchitecture › many-core architecture
tiled microarchitecture
0.112006
Distributed Microarchitectural Protocols in the TRIPS Prototype Processor · MICRO 2006
Interconnection networks and networks-on-chip › switch architecture
output queuing
0.012002
An O(log2N) parallel algorithm for output queuing · INFOCOM 2002
Parallel and multicore computing
parallel algorithms
0.012002
An O(log2N) parallel algorithm for output queuing · INFOCOM 2002
Parallel and multicore computing › parallel algorithms
PRAM algorithms
0.012002
An O(log2N) parallel algorithm for output queuing · INFOCOM 2002
Interconnection networks and networks-on-chip › network scheduling
switch scheduling
0.012002
An O(log2N) parallel algorithm for output queuing · INFOCOM 2002

Methods — techniques the papers use, named apart from their topics

physical design · 0.1scheduling algorithm · 0.0parallel random-access machine · 0.0
YearPublicationVenuePosition
2006 Distributed Microarchitectural Protocols in the TRIPS Prototype Processor
abstract
Growing on-chip wire delays will cause many future microarchitectures to be distributed, in which hardware resources within a single processor become nodes on one or more switched micronetworks. Since large processor cores will require multiple clock cycles to traverse, control must be distributed, not centralized. This paper describes the control protocols in the TRIPS processor, a distributed, tiled microarchitecture that supports dynamic execution. It details each of the five types of reused tiles that compose the processor, the control and data networks that connect them, and the distributed microarchitectural protocols that implement instruction fetch, execution, flush, and commit. We also describe the physical design issues that arose when implementing the microarchitecture in a 170M transistor, 130nm ASIC prototype chip composed of two 16-wide issue distributed processor cores and a distributed 1MB non-uniform (NUCA) on-chip memory system
Karthikeyan Sankaralingam, Ramadass Nagarajan, Robert G. McDonald, Rajagopalan Desikan, Saurabh Drolia, Madhu Saravana Sibi Govindan, Paul Gratz, Divya Gulati, Heather Hanson, Changkyu Kim, Haiming Liu 0001, Nitya Ranganathan, Simha Sethumadhavan, Sadia Sharif, Premkishore Shivakumar, Stephen W. Keckler, Doug Burger
MICRO14
2002 An O(log2N) parallel algorithm for output queuing
abstract
Output queued switches are appealing because they have better latency and throughput than input queued switches. However, they are difficult to build: a direct implementation of an N/spl times/N output-queued switch requires the switching fabric and the packet memories at the outputs to run at N times the line rate. Attempts have been made to implement output queuing with slow components, e.g., by having memories at both inputs and outputs running at twice the line rate. In these approaches, even though the packet memory speed is reduced, the scheduler time complexity is high - at least /spl Omega/(N). We show that idealized output queuing can be simulated in a shared memory architecture with (3N-2) packet memories running at the line rate, using a scheduling algorithm whose time complexity is O(log/sup 2/ N) on a parallel random access machine (PRAM). The number of processing elements and memory cells used by the PRAM are a small multiple of the size of the idealized switch.
Sadia Sharif, Adnan Aziz
INFOCOM1
2002 The potential costs and benefits of long-term prefetching for content distribution
Arun Venkataramani, Praveen Yalagandula, Ravi Kokku, Sadia Sharif, Michael Dahlin
Comput. Commun.4