The trouble with smoking

Patterson, Mark

doi:10.1038/35042031

Cited by 6 publications

(6 citation statements)

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“…It is a critical issue for two reasons. One problem is the trouble with multicore: Chipmakers are designing microprocessors that most programmers can't program 191 . Re-configurable computing is a key part of the solution to cope with the parallel programming wall.…”

Section: Discussionmentioning

confidence: 99%

The Paramountcy of Reconfigurable Computing

Hartenstein¹

2012

Energy‐Efficient Distributed Computing Systems

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Section: Discussionmentioning

confidence: 99%

The Paramountcy of Reconfigurable Computing

Hartenstein¹

2012

Energy‐Efficient Distributed Computing Systems

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“…As discussed in Section 1, the use of multicore chips to compensate for the decrease in Moore's Law rates of microcircuit speed increase will keep computing processor technology on the Moore's Law curve of computing operations per second, but will cause formidable problems in going from efficient sequential software programs to efficient parallel programs [Patterson, 2010]. The supercomputer field has identified some classes of applications that can be relatively easily parallelized, such as computational fluid dynamics, weather prediction, Monte Carlo methods for modeling and simulation sensitivity analysis, parallel searching, and handling numerous independently-running programs in cloud computing.…”

Section: Computational Plenty and Multicore Chipsmentioning

confidence: 99%

Some Future Software Engineering Opportunities and Challenges

Boehm

2010

The Future of Software Engineering

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Abstract. This paper provides an update and extension of a 2006 paper, "Some Future Trends and Implications for Systems and Software Engineering Processes," Systems Engineering, Spring 2006. Some of its challenges and opportunities are similar, such as the need to simultaneously achieve high levels of both agility and assurance. Others have emerged as increasingly important, such as the challenges of dealing with ultralarge volumes of data, with multicore chips, and with software as a service. The paper is organized around eight relatively surprise-free trends and two "wild cards" whose trends and implications are harder to foresee. The eight surprise-free trends are:1. Increasing emphasis on rapid development and adaptability; 2. Increasing software criticality and need for assurance; 3. Increased complexity, global systems of systems, and need for scalability and interoperability; 4. Increased needs to accommodate COTS, software services, and legacy systems; 5. Increasingly large volumes of data and ways to learn from them; 6. Increased emphasis on users and end value; 7. Computational plenty and multicore chips; 8. Increasing integration of software and systems engineering;The two wild-card trends are: 9. Increasing software autonomy; and 10. Combinations of biology and computing.

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“…Current forefront central processing unit (CPU) technology is making use of multiple cores to improve performance and as such many software developers are attempting to find new methods to parallelise existing algorithms for the new paradigm [5,6]. Running along side this CPU evolution in recent years is the growth of graphics hardware in capability and performance.…”

Section: Introductionmentioning

confidence: 99%