Motivation in addition to problem definition. Outline Optimistic Register Coalescing

 www.phwiki.com

 

The Above Picture is Related Image of Another Journal

 

Motivation in addition to problem definition. Outline Optimistic Register Coalescing

Baker College of Flint, US has reference to this Academic Journal, Optimistic Register Coalescing Sobeeh Almukhaizim UC San Diego Computer Science & Engineering Based on the work of: J. Park in addition to S. Moon School of Electrical Engineering Seoul National University Motivation in addition to problem definition. Register Allocation Copy Coalescing Optimistic Coalescing Aggressive coalescing. Live range splitting. Experimental Results in addition to Analyses Summary Outline Motivation in addition to problem definition. Register allocation in addition to copy coalescing. Goal: Minimize number of registers in consideration of a program ( faster execution ). Live range variables that interfere alongside each other ? interference graph alongside minimum color k ( number of registers ). NP-complete ? search in consideration of heuristics.

 Hernandez, Jade Baker College of Flint www.phwiki.com

 

Related University That Contributed for this Journal are Acknowledged in the above Image

 

Interference Graph A node represents a live range An edge represents concurrent liveness Coloring Theorem In a graph G, a node x alongside degree lower than k will have a color no matter how G-{x} is colored Register Allocation Yorktown Allocator (Chaitin et. al) Spills a node whenever every node is significant Optimistic Coloring Register Allocator (Briggs et. al) Delays spill decision later Differentiates potential-spill in addition to actual-spill Register Allocators Copy Coalescing Coalescing in Graph Coloring Merging two non-interfering nodes Makes two nodes have the same color Effective in consideration of copy elimination Copy Coalescing Merging two non-interfering copy-related nodes Makes copies meaningless Includes both negative in addition to positive impact on colorability

Coalescing Impact on Colorability Negative Impact Produce higher-degree coalesced nodes Positive Impact Reduce the degrees of neighbors by one a c b d d ab c 2 1 Negative Impact a b c ad d b c k=2 Positive Impact 2 1 1 Previous Coalescing Heuristics Aggressive Coalescing(Chaitin et. al) Coalesce any non-interfering copy operands Conservative Coalescing(Briggs et. al) Coalesce if the coalesced node will not be potentially-spilled Iterated Coalescing(George in addition to Appel) Repeat simplification in addition to conservative coalescing Aggressive Conservative Iterated Copy Removal best worst mid Positive Impact mid small big Negative Impact big none none Optimistic Coalescing Aggressive Coalescing Live Range Splitting Aggressive Coalescing Live Range Splitting Copy Removal Positive Impact Negative Impact Optimistic View Motivation of Optimistic Coalescing

Streaming Protocol Suite Notes on HTTP Streaming (1) Notes on HTTP Streaming (2) WebRTC Streaming Protocol Suite (1) Streaming Protocol Suite (2) RTCP RTCP RTCP Packet Types Fields in SR Fields in SR + RR Deducing Network Conditions Calculating Packet Loss Ratio (1) Calculating Packet Loss Ratio (2) Calculating Interarrival Jitter Calculating Interarrival Jitter Calculating Interarrival Jitter Calculating RTT (1) Calculating RTT (2) Calculating ??? RTCP Scaling (1) RTCP Scaling (2) RTP RTP Packet Format RTP Header RTP Header RTP Header RTP Header RTP Header RTP Header On Receiving RTP packet RTSP RTSP (1) RTSP (2) RTSP Example RTSP Example RTSP Example SIP SIP Application-Level Framing MPEG + RTP Previously, in CS5248 MPEG Frame Sizes Previously, on CS5248 You are Here Application-Level Framing How so that send/recv? Application Knows Best Application Data Unit (ADU) How so that chop data into packets? RTP Payload Header RTP Header (Summary) MPEG Video-specific Header MPEG Video-specific Header MPEG Video-specific Header MPEG Video-specific Header MPEG Video-specific Header MPEG Video-specific Header MPEG Video-specific Header MPEG Video-specific Header Fragmentation Rules Fragmentation Rules MP3 (MPEG-1, layer 3) Audio MP3 Frame Structure MP3 RFC 3119 Re-Arrangement RFC 3119: Interleaving Other Thoughts RFC 2250 versus RFC 3119 MP3 Sender/Receiver Structure Packet Size Network Tools Network Tools Iperf Port Numbers Iperf Example (TCP, Server) Iperf Example (TCP, Client) Iperf Example (UDP, Server) Iperf Example (UDP, Client) Netstat Netstat -l Tcpdump

Advantages of Aggressive Coalescing Removes many copies Fully exploits the positive impact Optimistically, aggressively coalesced node is not necessarily spilled Aggressive Coalescing Live Range Splitting Compensate in consideration of Negative Impact What so that Split Coalesced live ranges When so that Split At the color phase before spilling them actually How so that Split Reproduce the primitive live ranges by undoing coalescing a b c f d g e k=3 e=1 f=2 g=3 Aggressive coalescing abcd e f g ab=3 c=1 f=2 d g=3 e=1 stack Graph simplification Allocation result Example of Live Range Splitting

Base-case allocator Yorktown allocator alongside aggressive coalescing Briggs? allocators alongside four different heuristics alongside conservative coalescing (conservative) alongside iterated coalescing (iterated) alongside aggressive coalescing (aggressive) alongside optimistic coalescing (optimistic) Register Allocator Implementation Ratio of removed copies Ratio of introduced spill ops Experimental Results Due so that aggressiveness, aggressive coalescing coalesces 66.0% more nodes Due so that optimistic view, aggressive coalescing spills only 5.6% of aggressively coalesced nodes Due so that live range splitting, optimistic coalescing reduces spills by 2.4% Analysis of Aggressive Coalescing in addition to Spilling

Due so that live range splitting, 52% of otherwise spilled nodes are colored Analysis of Live Range Splitting Due so that positive impact, coalescing removes interference edges Optimistic coalescing exploits 3.8 times more positive impact than iterated coalescing Analysis of Positive impact Optimistic Coalescing Aggressive coalescing Aggressive copy elimination Positive impact Optimistic view Live range splitting Reduce negative impact Summary

Hernandez, Jade General Manager

Hernandez, Jade is from United States and they belong to General Manager and work for KNIX-FM in the AZ state United States got related to this Particular Article.

Journal Ratings by Baker College of Flint

This Particular Journal got reviewed and rated by and short form of this particular Institution is US and gave this Journal an Excellent Rating.