Clock buffer have equal rise time and fall time, therefore pulse width violation is avoided. In clock buffers Beta ratio is adjusted such that rise & fall time are matched. This may increase size of clock buffer compared to normal buffer. Normal buffers may not have equal rise and fall time. Clock buffers are usually… Continue reading Difference Between Clock Buffer And Normal Buffer
Category: Uncategorised
Latch Based Designs
Latch Based Clocking • Every cycle is broken by two latches – That means that each signal must go through two latches – So if you set clocks up correctly, hold time should not be bad • Problem is each latch has a different clock, so skew can causehold time issues• But in this system there… Continue reading Latch Based Designs
Leakage Power
Leakage Power Power Consumption consists of Dynamic Power and static Leakage Power. In this blog, we will talk mainly about static Leakage power dissipation. Leakage Power depends upon… Gate length Oxide thickness Threshold voltage etc. Leakage Power can be divided in two parts… Leakage Power in stand by mode Leakage Power in active mode Static… Continue reading Leakage Power
Mim Cap In Vlsi
Why MIMCAP is needed? The geometry scaling has led to thinner interconnects and reduced metal width. Interconnect lengths were also increased along with switching at gigahertz speeds to meet complex design requirement. The device scaling has increased the density of integrated transistors on the semiconductor wafer. There may be large current spikes due to simultaneous… Continue reading Mim Cap In Vlsi
On Chip Variation Analysis
Variation Of Sources Causes of timing variations can include small variations in the way that features defined on a mask print on the surface of the chip because of the effect of surrounding features, variations in processes such as doping levels or etching that may remove more or less of a critical feature such as… Continue reading On Chip Variation Analysis
Sta Multi Mode Multi Corner
What is MMMC MMMC stands for: Multi-Mode Multi Corner What’s a Mode A mode is defined by a set of clocks, supply voltages, timing constraints, and libraries. It can also have annotation data, such as SDF or parasitics files. Many chip have multiple modes such as functional modes, test mode, sleep mode, and etc. What’s… Continue reading Sta Multi Mode Multi Corner
Synopsys Pocv Setup Commands
Location coordinates are required to calculate path distance but are not required to calculate the path depth. Set the read_parasitics_load_locations variable to true, and then use the read_parasitics command pt_shell> set_app_var read_parasitics_load_locations truept_shell> read_parasitics Enable POCV Analysis – To enable graph-based POCV analysis, set the timing_pocvm_enable_analysis variable to true pt_shell> set_app_var timing_pocvm_enable_analysis true Set Standard… Continue reading Synopsys Pocv Setup Commands
Synopsys Primetime Commands
Report All Violations report_constraint –all_violators Report Number Of Violations The Number of Violations Report Path Timing Reports pt_shell> report_timing Report Clock Network report_clock_timing –type skew Report Bottleneck Analysis (Identify cells involved in multiple violations) report_bottleneck Specify Timing Assertions pt_shell> create_clock -name CLK -period 30 [get_port CLOCK] pt_shell> set_clock_uncertainty 0.5 [all_clocks] pt_shell> set_clock_latency -min 3.5 [get_clocks… Continue reading Synopsys Primetime Commands
FMA: A Dataset For Music Analysis
Michaël Defferrard, Kirell Benzi, Pierre Vandergheynst, Xavier Bresson, EPFL LTS2. Free Music Archive web API All the data in the raw_*.csv tables was collected from the Free Music Archive public API. With this notebook, you can: reconstruct the original data, update some fields, e.g. the track listens (play count), augment the data with newer fields… Continue reading FMA: A Dataset For Music Analysis
word2vec visualization
using vis.py ipython notebook version: https://gist.github.com/chezou/3899461aa550f73854a1 original vis.py https://github.com/nishio/mycorpus In [1]: import visword2vec # 単語で作ったモデル vis = visword2vec.visWord2Vec(“recipe_steps.bin”) # フレーズで作ったモデル vis_phrase = visword2vec.visWord2Vec(“recipe_steps-phrase.bin”) loading loaded loading loaded In [2]: def plot_both(word): vis.plot(word) vis_phrase.plot(word) In [3]: plot_both(‘チョコ’) [ 0.21099427 0.11427726] [ 0.19734898 0.13841781] In [4]: vis_phrase.plot(‘義理_チョコ’) [ 0.16700684 0.1221358 ] In [5]: plot_both(‘義理’) [ 0.17986007 0.14094272] [ 0.248188 0.16636363] In [6]: plot_both(‘あつあつ’)… Continue reading word2vec visualization
Stable Diffusion AI Notebook (Release 2.0.0)
Instructions: Execute each cell in order to mount a Dream bot and create images from text. Once cells 1-8 were run correctly you’ll be executing a terminal in cell #9, you’ll need to enter python scripts/dream.py command to run Dream bot. After launching dream bot, you’ll see: Dream > in terminal. Insert a command, eg.… Continue reading Stable Diffusion AI Notebook (Release 2.0.0)