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| Elliot Waingold, Michael Taylor, Devabhaktuni Srikrishna, Vivek Sarkar, Walter Lee, Victor Lee, Jang Kim, Matthew Frank, Peter Finch, Rajeev Barua, Jonathan Babb, Saman Amarasinghe, Anant Agarwal, "Baring It All to Software: Raw Machines," Computer, vol. 30, no. 9, pp. 86-93, September, 1997. | |||
| BibTex | x | ||
| @article{ 10.1109/2.612254, author = {Elliot Waingold and Michael Taylor and Devabhaktuni Srikrishna and Vivek Sarkar and Walter Lee and Victor Lee and Jang Kim and Matthew Frank and Peter Finch and Rajeev Barua and Jonathan Babb and Saman Amarasinghe and Anant Agarwal}, title = {Baring It All to Software: Raw Machines}, journal ={Computer}, volume = {30}, number = {9}, issn = {0018-9162}, year = {1997}, pages = {86-93}, doi = {http://doi.ieeecomputersociety.org/10.1109/2.612254}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - MGZN JO - Computer TI - Baring It All to Software: Raw Machines IS - 9 SN - 0018-9162 SP86 EP93 EPD - 86-93 A1 - Elliot Waingold, A1 - Michael Taylor, A1 - Devabhaktuni Srikrishna, A1 - Vivek Sarkar, A1 - Walter Lee, A1 - Victor Lee, A1 - Jang Kim, A1 - Matthew Frank, A1 - Peter Finch, A1 - Rajeev Barua, A1 - Jonathan Babb, A1 - Saman Amarasinghe, A1 - Anant Agarwal, PY - 1997 VL - 30 JA - Computer ER - | |||
The most radical of the architectures that appear in this issue are Raw processors-highly parallel architectures with hundreds of very simple processors coupled to a small portion of the on-chip memory. Each processor, or tile, also contains a small bank of configurable logic, allowing synthesis of complex operations directly in configurable hardware. Unlike the others, this architecture does not use a traditional instruction set architecture. Instead, programs are compiled directly onto the Raw hardware, with all units told explicitly what to do by the compiler. The compiler even schedules most of the intertile communication. The real limitation to this architecture is the efficacy of the compiler. The authors demonstrate impressive speedups for simple algorithms that lend themselves well to this architectural model, but whether this architecture will be effective for future workloads is an open question.

