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Future Chips

Building effective computer chips requires hardware/software symbioses. Future Chips is the place to find how hardware impacts software and vice-versa.

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Future Chips | futurechips.org Reviews
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Building effective computer chips requires hardware/software symbioses. Future Chips is the place to find how hardware impacts software and vice-versa.
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1 x86
2 alpha
3 branch prediction
4 tumasulo algorithm
5 chips
6 computer architecture
7 computer design
8 silicon
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10 high performance
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future chips,8 responses,parallel programming,thoughts for researchers,understanding chips,hadoop,4 responses,big data,cloudera,hadoop distributions,hibench,horton works,to learn more,2 responses,big data training,cassandra,cassandra training,consulting
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Future Chips | futurechips.org Reviews

https://futurechips.org

Building effective computer chips requires hardware/software symbioses. Future Chips is the place to find how hardware impacts software and vice-versa.

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1

Posts by Ali Hussain | Future Chips

http://www.futurechips.org/author/ali-hussain

Understanding Throughput and Latency Using Little’s Law. This post originally appeared on the Flux7 blog at: http:/ flux7.com/blogs/benchmarks/littles-law/. It discusses the relationship between throughput and latency summarized by Little’s Law. Little’s Law has applications on any system with throughput and latency, whether it is memory performance or an industrial assembly line. Read the original article below:. March 4, 2014. Posted by Ali Hussain. Chip Design for All. April 30, 2013. April 8, 2013.

2

Hadoop | Future Chips

http://www.futurechips.org/tag/hadoop

A comparison of Hadoop Distributions in AWS Cloud. At Flux7Labs we have done a detailed comparison of all too Hadoop distributions. We not only compared performance using Intel HiBench benchmarks but also compared more subjective metrics like ease of installation, usability, and ecosystem support. Head over to Flux7 blog to read the whitepaper. As always, feedback is highly appreciated. Read – A Detailed Comparison of Hadoop Distributions. December 13, 2013. Posted by Aater Suleman. Big Data and Cloud.

3

Hibench | Future Chips

http://www.futurechips.org/tag/hibench

A comparison of Hadoop Distributions in AWS Cloud. At Flux7Labs we have done a detailed comparison of all too Hadoop distributions. We not only compared performance using Intel HiBench benchmarks but also compared more subjective metrics like ease of installation, usability, and ecosystem support. Head over to Flux7 blog to read the whitepaper. As always, feedback is highly appreciated. Read – A Detailed Comparison of Hadoop Distributions. December 13, 2013. Posted by Aater Suleman. Big Data and Cloud.

4

Parallel Programming | Future Chips

http://www.futurechips.org/category/parallel-programming-2

Understanding Throughput and Latency Using Little’s Law. This post originally appeared on the Flux7 blog at: http:/ flux7.com/blogs/benchmarks/littles-law/. It discusses the relationship between throughput and latency summarized by Little’s Law. Little’s Law has applications on any system with throughput and latency, whether it is memory performance or an industrial assembly line. Read the original article below:. March 4, 2014. Posted by Ali Hussain. Chip Design for All. In this post, I describe. I got ...

5

What makes parallel programming hard? | Future Chips

http://www.futurechips.org/tips-for-power-coders/parallel-programming.html

What makes parallel programming hard? Multi-cores are here, and they are here to stay. Industry trends show that each individual core is likely to become smaller and slower (see my post. To understand the reason). Improving performance of a single program with multi-core requires that the program be split into. Update 5/26/2011: I have also written a case study for parallel programming. Which may interest you. Why finding parallelism is hard? Why is debugging difficult? Say two threads T0 and T1 need to ...

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What makes parallel programming hard? | Java Code Geeks - 2016

https://www.javacodegeeks.com/2012/08/what-makes-parallel-programming-hard.html

Terms & Conditions. Java Code Geeks Java Developers Resource Center. Best Of The Week. Raquo; Software Development. Raquo; What makes parallel programming hard? What makes parallel programming hard? Posted by: Aater Suleman. August 17th, 2012. Multi-cores are here, and they are here to stay. Industry trends show that each individual core is likely to become smaller and slower (see my post. Update 5/26/2011: I have also written a case study for parallel programming. Which may interest you. Debugging multi...

parallelaxiom.com parallelaxiom.com

parallelaxiom's blog | Parallel Axiom

http://www.parallelaxiom.com/blog/1

Parallel programs for every one. Any type of communication can be encrypted. It may not always make sense to do so but a lot of times it does. ZeroMQ does not currently support Transport Layer Security ( TLS ). Natively but a couple of efforts have been started by different people. I found a very good read on TLS encryption over ZeroMQ by Ian Barber Here. While playing around with cling I thought I may want to try to get ZeroMQ compiled using clang. The video has had a couple of whoa - moments for me&#46...

comparch.net comparch.net

Visualization | Rustam Miftakhutdinov

https://comparch.net/category/visualization

Visualization is a key part of microarchitectural analysis. Visualization is necessary because even the simplest in-order processor is incredibly complex; its performance may be affected by cache misses, branch mispredictions, pipeline stalls, DRAM contention, inaccurate prefetching, and so on. In … Continue reading →. Why TAGE is the best. Paper: A Model for Hierarchical Memory. Branch Prediction gu… on Why TAGE is the best. A computer architect on Why TAGE is the best.

comparch.net comparch.net

rustam | Rustam Miftakhutdinov

https://comparch.net/author/rmiftakhutdinov

Computer architecture graduate student at The University of Texas at Austin. Graduate students like me read lots of research papers. Not all research papers are available for free download online—yet—so we have to access them through our university’s EZProxy gateway. I made a simple bookmark that makes reading papers with EZProxy … Continue reading →. Why TAGE is the best. Paper: A Model for Hierarchical Memory. Asymptotic complexity of algorithms (the “big-O” notation) is a staple of compute...While wor...

comparch.net comparch.net

June | 2013 | Rustam Miftakhutdinov

https://comparch.net/2013/06

Monthly Archives: June 2013. Why TAGE is the best. The TAGE branch predictor by André Seznec and Pierre Michaud is the best branch predictor today, winning the last two branch predictor competitions (CBP2 and CBP3). It was introduced in a 2006 paper: A case for (partially) tagged Geometric History … Continue reading →. Paper: A Model for Hierarchical Memory. Frequency scaling for simulator debugging. While working on a recent paper, I stumbled on an easy way to find errors in a computer architecture simu...

comparch.net comparch.net

Frequency scaling for simulator debugging | Rustam Miftakhutdinov

https://comparch.net/2013/06/09/frequency-scaling-for-simulator-debugging

Paper: A Model for Hierarchical Memory →. Frequency scaling for simulator debugging. While working on a recent paper. I stumbled on an easy way to find errors in a computer architecture simulator. I simulated a processor at various frequencies and plotted the resulting performance. I expected to see a nice “smooth” set of points, perhaps something like this:. Aside: in my paper, I explain why looking at execution time vs. cycle time is easier than looking at performance vs. frequency. Of course, I fixed ...

comparch.net comparch.net

Papers | Rustam Miftakhutdinov

https://comparch.net/category/papers

Graduate students like me read lots of research papers. Not all research papers are available for free download online—yet—so we have to access them through our university’s EZProxy gateway. I made a simple bookmark that makes reading papers with EZProxy … Continue reading →. Why TAGE is the best. Paper: A Model for Hierarchical Memory. Why TAGE is the best. Paper: A Model for Hierarchical Memory. Branch Prediction gu… on Why TAGE is the best. A computer architect on Why TAGE is the best.

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Future Chips

Understanding Throughput and Latency Using Little’s Law. This post originally appeared on the Flux7 blog at: http:/ flux7.com/blogs/benchmarks/littles-law/. It discusses the relationship between throughput and latency summarized by Little’s Law. Little’s Law has applications on any system with throughput and latency, whether it is memory performance or an industrial assembly line. Read the original article below:. March 4, 2014. Posted by Ali Hussain. Chip Design for All. December 13, 2013. I made a majo...

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