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Sharath Prasad

dblp:25/7940 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2015
—ORCID · none

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

Systems, architecture and hardware · 2Artificial intelligence and machine learning · 1Human-computer interaction and ubiquitous computing · 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
1 paper
Electronic design automation · 44% GPUs and heterogeneous computing · 28% Performance modeling and evaluation · 28%
Human-computer interaction and pervasive computing
1 paper
Human-robot interaction · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computing education · 100%

Topics — the 7 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
GPUs and heterogeneous computing
GPU architecture
0.212015
Enabling GPGPU Low-Level Hardware Explorations with MIAOW: An Open-Source RTL Implementation of a GPGPU · ACM Trans. Archit. Code Optim. 2015
Electronic design automation › hardware verification and test › hardware verification
RTL simulation
0.212015
Enabling GPGPU Low-Level Hardware Explorations with MIAOW: An Open-Source RTL Implementation of a GPGPU · ACM Trans. Archit. Code Optim. 2015
Performance modeling and evaluation
simulation
0.212015
Enabling GPGPU Low-Level Hardware Explorations with MIAOW: An Open-Source RTL Implementation of a GPGPU · ACM Trans. Archit. Code Optim. 2015
Electronic design automation › hardware verification and test
design validation
0.112015
Enabling GPGPU Low-Level Hardware Explorations with MIAOW: An Open-Source RTL Implementation of a GPGPU · ACM Trans. Archit. Code Optim. 2015
Electronic design automation
hardware verification and test
0.112015
Enabling GPGPU Low-Level Hardware Explorations with MIAOW: An Open-Source RTL Implementation of a GPGPU · ACM Trans. Archit. Code Optim. 2015
Computing education › STEM education
science education
0.012010
Survivor buddy and SciGirls: affect, outreach, and questions · HRI 2010
Human-robot interaction › emotion expression
expressive robot behavior
0.012010
Survivor buddy and SciGirls: affect, outreach, and questions · HRI 2010

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

RTL implementation · 0.2OpenCL · 0.2
YearPublicationVenuePosition
2015 MIAOW: An open source GPGPU
Vinay Gangadhar, Raghuraman Balasubramanian, Mario Drumond, Ziliang Guo, Jai Menon 0003, Cherin Joseph, Robin Prakash, Sharath Prasad, Pradip Valathol, Karthikeyan Sankaralingam
Hot Chips Symposium8
2015 Enabling GPGPU Low-Level Hardware Explorations with MIAOW: An Open-Source RTL Implementation of a GPGPU
abstract
Graphic processing unit (GPU)-based general-purpose computing is developing as a viable alternative to CPU-based computing in many domains. Today’s tools for GPU analysis include simulators like GPGPU-Sim, Multi2Sim, and Barra. While useful for modeling first-order effects, these tools do not provide a detailed view of GPU microarchitecture and physical design. Further, as GPGPU research evolves, design ideas and modifications demand detailed estimates of impact on overall area and power. Fueled by this need, we introduce MIAOW (Many-core Integrated Accelerator Of Wisconsin), an open-source RTL implementation of the AMD Southern Islands GPGPU ISA, capable of running unmodified OpenCL-based applications. We present our design motivated by our goals to create a realistic, flexible, OpenCL-compatible GPGPU, capable of emulating a full system. We first explore if MIAOW is realistic and then use four case studies to show that MIAOW enables the following: physical design perspective to “traditional” microarchitecture, new types of research exploration, and validation/calibration of simulator-based characterization of hardware. The findings and ideas are contributions in their own right, in addition to MIAOW’s utility as a tool for others’ research.
Raghuraman Balasubramanian, Vinay Gangadhar, Ziliang Guo, Chen-Han Ho, Cherin Joseph, Jai Menon 0003, Mario Drumond, Robin Paul, Sharath Prasad, Pradip Valathol, Karthikeyan Sankaralingam
ACM Trans. Archit. Code Optim.9
2010 Survivor buddy and SciGirls: affect, outreach, and questions
abstract
This paper describes the Survivor Buddy human-robot interaction project and how it was used by four middle-school girls to illustrate the scientific process for an episode of "SciGirls", a Public Broadcast System science reality show. Survivor Buddy is a four degree of freedom robot head, with the face being a MIMO 740 multi-media touch screen monitor. It is being used to explore consistency and trust in the use of robots as social mediums, where robots serve as intermediaries between dependents (e.g., trapped survivors) and the outside world (doctors, rescuers, family members). While the SciGirl experimentation was neither statistically significant nor rigorously controlled, the experience makes three contributions. It introduces the Survivor Buddy project and social medium role, it illustrates that human-robot interaction is an appealing way to make robotics more accessible to the general public, and raises interesting questions about the existence of a minimum set of degrees of freedom for sufficient expressiveness, the relative importance of voice versus non-verbal affect, and the range and intensity of robot motions.
Robin R. Murphy, Vasant Srinivasan, Negar Rashidi, Brittany A. Duncan, Aaron Rice, Zachary Henkel, Marco Garza, Clifford Nass, Victoria Groom, Takis Zourntos, Roozbeh Daneshvar, Sharath Prasad
HRI12