PPT-Energy Efficiency of Full Pipelining: A Case Study for Matrix Multiplication

Speaker Peipei Zhou Student Peipei Zhou Hyunseok Park Zhenman Fang Faculty Jason Cong Andre DeHon II 1 or not A new Question II vs Energy and II gt 1 II change what happens A case study of MM. Efficient Pipelining of Nested Loops:Unroll-and-SquashDarin S. PetkovSubmitted to the Department of Electrical Engineering and Computer Scienceon December 20, 2000, in partial fulfillment ofthe requir m. ultiply. t. imes. l. ots. . of. X. 3 x 2 = 6. 5 x 2 = 10. Here are some arrays to show what multiply means.. 3 lots of 2 are 6. 5 lots of 2 are 10. When we multiply, we are. r. eally adding together lots of. Final presentation. One semester – winter 2014/15. By : Dana Abergel and Alex . Fonariov. Supervisor : . Mony. . Orbach. High Speed Digital System Laboratory. Abstract . Matrix multiplication is a complex mathematical operation.. Start from r.h.s , if there is any carry in any part ,it is to be added to next part.. A B . C D. C*A (D.A + B*C) B*D. 1 2. 4 3. 1*4 1*3+4*2 2*3. 4 11 6. 4+1 1 6. 5 1 6. Multiplication and Division 9. 5 x 10 = 50. Multiplication and Division 9. 50 . x 10 = . 500. 500 . x 10 = . 5000. Multiplication and Division 9. 205 . x 10 = . 2050. 250 . x 10 = . 2500. 25 . x 10 = . Dr.. . Fatih. . Birol. Executive Director, International Energy Agency. Paris, November 28, 2016. FRANCO-GERMAN HIGH-LEVEL CONFERENCE . “Energy Efficiency and Energy Performance of Buildings Directives Reviews: . UN Symposium on Sustainable Cities. Cities need energy to grow. Cities economic growth is constrained by inadequate electricity supply. Brown outs and load shedding are a fact of life in many cities. Jianyu. Huang. , Leslie Rice,. Devin A. Matthews, Robert A. van de . Geijn. IPDPS2017, May 31. st. , Orlando, FL. Jianyu Huang. , Leslie Rice,. Devin A. Matthews, Robert A. van de . Geijn. The University of Texas at Austin. Lecture 6: Superscalar Decode and Other . Pipelining. RISC ISA Format. This should be review…. Fixed-length. MIPS all insts are 32-bits/4 bytes. Few formats. MIPS has 3: R-, I-, J- formats. Alpha has 5: Operate, Op w/ Imm, Mem, Branch, FP. VECTOR. . PROCESSING. PIPELINING. . AND. . VECTOR. . PROCESSING. Parallel. . Processing. Pipelining. Arithmetic. . Pipeline. Instruction. . Pipeline. RISC. . Pipeline. Vector. . Processing. Array. Graph Algorithms. Uri Zwick. Tel Aviv University. Algebraic matrix multiplication. Strassen. ’s algorithm. Rectangular matrix multiplication. Boolean matrix multiplication. Simple reduction to integer matrix multiplication. Determinants. Square matrices have determinants, which are useful in other matrix operations, especially inversion. .. For a second-order . square. . matrix. , . A. ,. the determinant is. Consider the following bivariate raw data matrix. Tae Jun Ham. , Sung Jun Jung, . Seonghak. Kim, Young H. Oh, . Yeonhong. Park, . Yoonho. Song, Jung-Hun Park, . Sanghee. Lee, . Kyoung. Park, Jae W. Lee, . Deog-Kyoon. . Jeong. SEOUL NATIONAL. ASHRAE Fellow. ASHRAE 90.1 Vice Chair. Richard.Lord@Carrier.utc.com. Policy . Programs . for . Improving Energy Efficiency . in . Existing Cooling . and . Heat Pump Systems. Session VI, July 10, 2018 .