[PDF] Top 20 Floating point sparse matrix vector multiply for FPGAs
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Floating point sparse matrix vector multiply for FPGAs
... We investigate SMVM on the VirtexII-6000-4. On a single microprocessor, SMVM performs somewhat worse than DMVM due to data structure interpretation overhead. In our FPGA imple- mentation (Chapter 2), data structure ... See full document
51
Streaming reduction circuit for sparse matrix vector multiplication in FPGAs
... Floating point sparse matrix vector multiplications (SM×V) are kernel operations for many scientific ...since FPGAs are inherently ...a floating point adder. ... See full document
65
Chain Multiplication of Dense Matrices: Proposing a Shared Memory based Parallel Algorithm
... 64-bit floating point FPGA matrix multiplication ...754-1985 floating point design of a hardware matrix ...universal matrix multiplication algorithm was proposed by ...of ... See full document
6
Optimizing Sparse Matrix Vector Multiplications on An ARMv8 based Many Core Architecture
... half of the matrices on KNL, it should only be used for 10% of the matrices on FTP. This diagram suggests that the choice of the storage format depends on the underlying hardware. Table 1 gives the average slowdowns when ... See full document
12
Adaptive Optimization of Sparse Matrix Vector Multiplication on Emerging Many Core Architectures
... Figure 6 shows the performance comparison between KNL and FTP. In general, we observe that SpMV on KNL runs faster than it on FTP for each format. The average speedup of KNL over FTP is 1.9x for CSR, 2.3x for CSR5, 1.3x ... See full document
10
Optimizing Sparse Matrix Vector Multiplications on an ARMv8 based Many Core Architecture
... To investigate the impact of vectorization, we manually vectorize the compu- tational kernel using the CSR5 and the SELL storage formats. Before testing our code on FTP, we verify it on KNL which also has a SIMD ... See full document
16
AN OVERVIEW OF TECHNOLOGY EVOLUTION: INVESTIGATING THE FACTORS INFLUENCING NON BITCOINS USERS TO ADOPT BITCOINS AS ONLINE PAYMENT TRANSACTION METHOD
... trivial matrix-vector multiplication program to most complicated bioinformatics programs, share three common computing characteristics: data intensive, compute intensive, and control intensive ... See full document
10
Performance Evaluation of FPM on Spartan Family FPGAs and Analyze Its Effect on Bonded IOBs
... consider floating-point arithmetic an esoteric ...because floating- point is ubiquitous in computer ...a floating-point data type. Floating Point numbers ... See full document
5
Design of Single Precision Floating Point Multiplication Algorithm with Vector Support
... precision Floating Point Multiplier further simulation results can be ...the Floating point multiplier can be increased by taking the 256 bit input bus instead of the 128 bit ...supported ... See full document
8
Discrete Fourier Transform Design Using Floating Point Numbers
... use floating point IEEE754 format in large number of ...paper Floating point arithmetic design and DIT FFT design is ...The floating point operation is considered are addition, ... See full document
6
Virtex 4 Field Programmable Gate Array Based 32 bit FPM
... of floating point format over fixed point format is the range of numbers that can be presented with the fixed number of ...bits. Floating point number is composed of three fields and ... See full document
5
Permonace Modeling of Pipelined Linear Algebra Architectures on ASIC
... The matrix–vector multiplication architecture defines a pipeline as a single multiply accumulate (MAC) unit ...The matrix operands be utilized once, yet the vector values can be used ... See full document
11
Application-Specific Memory Subsystem Benchmarking
... The generated driver is then compiled and executed to benchmark the kernel specified in the pattern specification. The executable accepts runtime arguments such as the working set size, thread count, the number of ... See full document
110
main () function is required in every C program.
... a floating-point value with an exponent data item is displayed as a floating-point value without an exponent data item is displayed as a floating-point value using either e-type ... See full document
52
DESIGN OF FLOATING POINT MULTIPLIER BASED ON BOOTH ALGORITHM USING VHDL.
... in Floating Point Multiplier, 32- bit Floating Point Subtractor and 32-bit Floating Point ...by Floating Point Subtractor, booth multiplier and floating ... See full document
8
A sparse multinomial probit model for classification
... Abstract A recent development in penalized probit modelling using a hierarchical Bayesian approach has led to a sparse binomial (two-class) probit classifier that can be trained via an EM algorithm. A key ... See full document
26
Gastro Retentive Drug Delivery System of Salbutamol Sulphate: Formulation and It’s in Vitro Evaluation
... gastric floating drug delivery system us described by statistical experimental design and data analysis using response surface ...and floating kinetics wee performed on these formulation and data are fitted ... See full document
149
Sparse matrix vector multiplication on a field programmable gate array
... system matrix into matrix slices results in some storage and memory bandwidth ...system matrix of the Volume Reconstruction algorithm has 138,324 rows and ...must point within the ‘val’ and ... See full document
86
Sparse matrix-vector multiplication on network-on-chip
... ing matrix-vector multiplication by using Network-on-Chip (NoC) ...dedicated point-to-point ...of sparse matrix-vector multiplication (SMVM), which is the main step of all ... See full document
6
GPU-accelerated surgery simulation for opening a brain fissure
... source matrix and permutated matrix, respectively, and m(i, j) denotes the i, j component of matrix ...a matrix is stored as a dense matrix, permutation is per- formed by simply copying ... See full document
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