ライフサイエンスコーパス: CPU

1 ion of the NRM on a central processing unit (CPU).

2 tantia nigra, SN and dorsal caudate-putamen, CPu).

3 the nucleus accumbens and also caudoputamen (CPu).

4 at even higher levels with the +2/+3 primer (CpU).

5 somedial portion of the rat caudate-putamen (CPu).

6 ) c-Fos and JunB in the rat caudate putamen (CPu).

7 core and in dorsal striatum [caudatoputamen (CPu)].

8 run tens to hundreds of times faster than on CPU.

9 sive marks and decreases activating marks in CPu.

10 rn DA transmission in NAc core versus dorsal CPu.

11 ized and parallelized across 16 cores on the CPU.

12 nduction of DeltaFosB mRNA was suppressed in CPu.

13 sequences at a rate of 3.5 Mb/s on a single CPU.

14 ne-activated c-Fos protein expression in the CPu.

15 extensions are limited only by the available CPU.

16 (TH(+)) axons and terminals was seen in the CPu.

17 s with five threads on Intel Xeon E5 2.6 GHz CPU.

18 ting effects of acute 'binge' cocaine in the CPu.

19 of over 100 beads in real time on a generic CPU.

20 ted morphine-induced c-Fos expression in the CPu.

21 wal in both the dorsomedial and dorsolateral CPu.

22 sers to process multiple samples on the same CPU.

23 stretchable circuit constructed from Cu-DOU-CPU.

24 s using less than 239 MB of RAM and a single CPU.

25 ng in both contexts but had no effect in the CPu.

26 ty to create computing clusters with 16-480+ CPUs.

27 e Smith-Waterman algorithm are available for CPUs.

28 Unix-based desktops or servers with multiple CPUs.

29 from 900 individuals takes about 5 h with 10 CPUs.

30 d ~ 5-10-fold reductions in cost relative to CPUs.

31 , but may require considerable time and many CPUs.

32 lPhiPKa and can run a single job on up to 24 CPUs.

33 s takes only a couple of hours (on a 1.2 GHz CPU, 1 GB RAM machine) to run on a dataset 28 Mb of barl

34 In the CPu, 1 h after cocaine injection, the increase in c-Fos

35 processing rate for these images was 8 Mpx/s/cpu (2.6 GHz Intel Core2, 2 GB RAM).

36 In a modern machine (2 Intel Xeon X5650 CPUs, 48 GB memory), when fast turn-around is needed, Se

37 exhibited acoustic responses (GP=20 (9.8%); CPu=9 (9.2%); ACE=0).

38 In low-risk patients in the CPU, a strategy of CA detects more CAD than ETT, reduces

39 in behavior and in dopamine increases in the CPu after 'binge' cocaine.

40 nucleus accumbens (NAc) and caudate putamen (CPu) after 3-day 'binge' pattern cocaine administration

41 drug-induced changes in the caudate-putamen (CPu) after L-DOPA administration.

42 temperature of the central processing unit (CPU), allowing for highly efficient PCR.

43 Procarboxypeptidase U (EC 3.4.17.20) (pro-CpU), also known as plasma procarboxypeptidase B and thr

44 a laptop with Intel Core i5-2500K @ 3.2 Ghz CPU and 8GB of RAM) our predictions can inform and reduc

45 t increases in serotonin transporters in the CPu and cingulate cortex in wild-type animals, all of wh

46 , in a time-dependent manner, within the rat CPu and CM.

47 onally, METH caused increased gliosis in the CPu and cortices of wild-type mice as measured by [(3)H]

48 ong the 97 patients who were assigned to the CPU and discharged.

49 rtex as well as depletion of dopamine in the CPu and frontal cortex of wild-type mice.

50 The ability of CPu and GP neurons to encode noxious thermal stimulation

51 udy characterized the response properties of CPu and GP neurons to non-noxious and noxious thermal st

52 Nociceptive CPu and GP neurons were capable of encoding noxious ther

53 In our experiments with a four core CPU and GPU, SWIFTLINK achieves a 8.5x speed-up over the

54 est a double dissociation between the medial CPU and hippocampus in processing egocentric-procedural

55 caused a decrease in serotonin levels in the CPu and hippocampus of wild-type mice, but no reduction

56 receptor mRNA expression in the NAc, caudal CPu and hippocampus were significantly increased.

57 or parallel execution of tasks, uses C++ for CPU and I/O intensive calculations, and stores intermedi

58 caine-induced c-Fos expression in the medial CPu and in the NAcSh.

59 TK framework for correctness, stability, and CPU and memory efficiency and to enable distributed and

60 icity in the detection of splices as well as CPU and memory efficiency.

61 Benchmarking indicates that SeqLib has lower CPU and memory requirements than leading C ++ sequence a

62 ssue types, but existing approaches are both CPU and memory-intensive, limiting their application to

63 nse curves revealed that differences between CPu and NAc were due to greater underlying Ca(2+) sensit

64 rences in D2-linked G-protein binding in the CPu and NACc, and with locomotor activation/suppression

65 n revealed that 14 of 58 patients (24%) with CPU and one of 10 patients with CRU (10%) were aspirin h

66 In vivo, rafts association of MOR in CPu and thalamus was not affected significantly in rats

67 mbranes, whereas about 70% and 45% of MOR in CPu and thalamus, respectively, were associated with lip

68 taminase catalyzed the polymerization of pro-CpU and the cross-linking to fibrin as well as the incor

69 echanism for better efficiency among various CPUs and GPUs combinations.

70 all supported hardware types (including both CPUs and GPUs) and perform well on all of them.

71 ol for a heterogeneous computer that couples CPUs and GPUs, to accelerate BLASTX and BLASTP-basic too

72 using 4104 tasks, each task utilizing eight CPUs and taking less than 7 minutes to complete.

73 pallidus (GP), 98 from the caudate-putamen (CPu) and 23 from the central nucleus of the amygdala (AC

74 opamine transporters in the caudate-putamen (CPu) and cortex as well as depletion of dopamine in the

75 ase immunoreactivity in the caudate-putamen (CPu) and decreases in CPu tissue dopamine levels in wean

76 sms by which neurons in the caudate-putamen (CPu) and globus pallidus (GP) participate in pain and no

77 essors, both in the central processing unit (CPU) and Graphics processing unit processor markets, ena

78 orylation (p-MKP-1), in the caudate-putamen (CPu) and nucleus accumbens (NAc) of Fischer rats.

79 for differences between the caudate putamen (CPu) and nucleus accumbens (NAc).

80 Membranes of rat caudate putamen (CPu) and thalamus or CHO-HA-rMOR cells were homogenized,

81 riventricular nucleus (Pe), caudate putamen (CPU) and the ependymal lining of the ventricles.

82 x, nucleus accumbens (NAc), caudate putamen (CPu) and the region containing the substantia nigra and

83 leus accumbens core (NAcC), caudate-putamen (CPu), and subthalamic nucleus.

84 l as GABA-BR2 mRNA expression in the NAc and CPu, and GABA-BR1 mRNA expression in the cortex.

85 -hydroxydopamine microinjection into the SN, CPu, and NAS, as well as radiofrequency lesions of the C

86 ral fidelity by dividing task demands across CPUs, and (iv) real-time control using a fully customiza

87 The system can run on multi-CPU architectures including SMP and PVM.

88 ltiview image fusion optimized for multicore CPU architectures, reducing image data size 30-500-fold;

89 RMSD calculations using a laptop CPU are 60x faster than qcprot and 3x faster than curren

90 safety, efficacy, and cost of admission to a CPU as compared with those of regular hospital admission

91 induced c-Fos expression in the dorsomedial CPu, as we have reported previously.

92 f biocomputers use central processing units (CPUs) assembled from multiple protein-based gene switche

93 edial habenula, and medulla and at p1 in the CPU at levels noticeably less than those of the MOR.

94 n was first detected in the caudate-putamen (CPU) at e12.5, and by e15.5, activity had not only incre

95 to toxins and provides direct evidence that CPu axons and terminals from SNc dopaminergic neurons ca

96 ast Ca(2+) transients and DA transmission in CPu axons, and evidence for endogenous fast buffering of

97 g Ca(2+) sensitivity of DA transmission from CPu axons.

98 me was 65 times and 69 times shorter for the CPU-based and GPU-based CNN pipelines (216.6 seconds +/-

99 orders of magnitude speed-up over respective CPU-based clustering algorithms and is intended as an op

100 ear 90-fold speed increase over an optimized CPU-based computation and a >140-fold increase over the

101 speedup on a single MIC against the original CPU-based implementation.

102 a dramatically lower cost than the standard CPU-based implementations.

103 es order-of-magnitude speedups relative to a CPU-based ordinary differential equation integrator.

104 ture, these data suggest that neurons in the CPu become supersensitive to the effects of DA agonists

105 ted MOR-mediated [(35)S]GTPgammaS binding in CPu but enhanced it in CHO-HA-rMOR.

106 -3 precursor was detected in hippocampus and CPu but not in cortex at 4-72 hr after ischemia.

107 N-, Q-, T- and L-VGCCs govern DA release in CPu, but in NAc, T and L-channels are relatively silent.

108 nucleus accumbens (NAc) and caudate-putamen (CPu) by repeated exposure to drugs of abuse such as coca

109 vector extension intrinsics code accelerate CPU calculations, and OpenCL kernels support AMD and Nvi

110 -fold speedup compared to a single core of a CPU can be achieved for a network of one million conduct

111 Medial (mCPu), lateral, and complete (CPu) caudate-putamen lesions affected speed and accuracy

112 clease is a multiple sequence of the form 5'-CPu/CCGGPyG.

113 pular Java application that runs on standard CPUs (Central Processing Units).

114 the compute capabilities of common multicore CPU clusters.

115 Furthermore, we built a dual-core CPU combining two orthogonal core processors in a single

116 es in hardware architecture between GPUs and CPUs complicate the porting of existing code.

117 r than comparable tools, even using a single CPU core, and efficiently and robustly scores the potent

118 L-MP can take advantage of not just multiple CPU cores but also one or several graphics processing un

119 RAL-MP code scales very well with increasing CPU cores, and its GPU version, implemented in OpenCL, c

120 ncing sample in 6.5 h using a system with 36 CPU cores.

121 fering state of the art ratios at affordable CPU costs.

122 More specifically, cOMet required 9.9 CPU days to error correct Rmap data generated from the h

123 Phasing these with Beagle 5 takes 4.3 CPU days, followed by either Refined IBD or GERMLINE seg

124 females had a larger change in HIP pERK and CPu DeltaFosB levels than cocaine males; partly due to l

125 lecular dynamics (MD) simulations, which are CPU-demanding and not yet particularly accurate.

126 Cu-DOU-CPU demonstrates the highest reported mechanical perform

127 dopamine production to the caudate putamen (CPu) does not fully restore the hyperlocomotive response

128 Analogous CPU elements may be found in other receptors and signali

129 In the CPu, ERK1 mRNA had an abrupt increase following a primin

130 undreds of hours of running time on a single CPU even for the fastest known implementations.

131 entials between GPU assisted performance and CPU executions as the computational load increases for h

132 ion power donated from over 20,000 volunteer CPUs, FALCON@home shows a throughput as high as processi

133 n of c-Fos was increased in the dorsolateral CPu following challenge injection at 7 days, but not at

134 e training time is sped up 21x and 30x (over CPU) for DNN and CNN, respectively.

135 On Intel Haswell multicore CPUs, for a single query, the single-threaded muBLASTP a

136 itively correlated to NAc pERK, HIP pERK and CPu FosB protein levels, suggesting that similar to male

137 mpute node with two multi-core Intel Nehalem CPUs, from approximately 17 h to approximately 11 min.

138 nt to federate both computational resources (CPU, GPU, FPGA, etc.) and datastores to support popular

139 We implement co-parallelization of CPU-GPU processing, which leads to a significant reducti

140 llumination and sample jitter in addition to CPU/GPU accelerated reconstruction for large datasets.

141 ed implementation utilizing multicore hybrid CPU/GPU computing resources, which can process terabytes

142 makes SneakySnake efficient to implement on CPUs, GPUs, and FPGAs.

143 ring of all 54,118 NCBI RefSeq genomes in 33 CPU h; real-time database search using assembled or unas

144 Morphine-induced c-Fos expression in the CPu has been shown to be blocked by pretreatment with an

145 ystems, mapping nearly 2.2 million reads per CPU hour, which is sufficient to process an entire RNA-S

146 ase Control Consortium, RAPID ran in about 1 CPU-hour per dataset, and identified many significant in

147 list of reference loci and can vary from one CPU-hour to hundreds of hours on a supercomputer.

148 genome, whereas Elmeri required less than 15 CPU hours and improved the quality of the Rmaps by more

149 been reported, but it used more than 150,000 CPU hours and weeks of wall-clock time.

150 igh computational demands (currently ~30-250 CPU hours per sample) remain a significant challenge to

151 for a typical sample vary between 0.7 and 14 CPU hours per sample.

152 entire fish genomes (470 and 217 Mb) in 120 CPU hours using 15 processors on a single machine.

153 AP and OADP required 0.82 and 21 CPU hours, respectively, while the projected computation

154 e projected computation time of ADP was 1628 CPU hours.

155 g arrays to the entire genome in less than 6 CPU hours.

156 results, the protocol requires roughly 1,000 CPU-hours for antibody modeling and 250 CPU-hours for an

157 ,000 CPU-hours for antibody modeling and 250 CPU-hours for antibody-antigen docking.

158 A approaches requiring an additional 120,000 cpu-hours on the TeraGrid.

159 receptor-ligand complexes requiring >200,000 cpu-hours on the TeraGrid.

160 We analyse the memory, CPU, I/O usage and file sizes used by Gap5.

161 For long sequences, the CPU implementation of SneakySnake accelerates Parasail a

162 s a ~40X speedup when compared with BEAGLE's CPU implementation on a dual Xeon 5520 and 3X speedup ve

163 x (>12x on average), respectively, with its CPU implementation, and by up to 413x and 689 x (>400x o

164 aster than the original integer matrix based CPU implementation, for the 3-hit algorithm, allowing us

165 node comparison against a corresponding SIMD CPU implementation.

166 ever, with comparable effort, multi-threaded CPU implementations negate the apparent advantage of GPU

167 When compared with naive, single-threaded CPU implementations, the GPU yields a large improvement

168 runtime is attained when compared to single CPU implementations.

169 roduced a dramatic induction of c-Fos in the CPu in 6-OHDA-lesioned animals.

170 e morphine-induced IEG expression in the rat CPu in a dose dependent manner, in contrast to the repor

171 ritically upon alpha5 subunits in the dorsal CPu in alpha4alpha5(non-alpha6)beta2-nAChRs but not in N

172 (ERK) activation and c-fos induction in the CPu in response to acute cocaine administration is media

173 ning highly parallel programs and outperform CPUs in terms of raw computing power.

174 flat image sensor array, memory device, and CPU) in conjunction with complicated optics should captu

175 ens (NAc), hippocampus, and caudate putamen (CPu) in morphine-induced conditioned place preference (C

176 amatergic projection to the caudate putamen (CPu) in rat.

177 o such primed Fosb induction was observed in CPu; in fact, subsequent acute induction of DeltaFosB mR

178 d of compliant poly(carbonate-urea)urethane (CPU), incorporated with human smooth muscle cells (SMCs)

179 , comprehensive evaluations against high-end CPUs (Intel i5, i7 and Xeon) shows that CUDAMPF yields u

180 ng 3D model quality; however, they are often CPU intensive as they carry out multiple structural alig

181 modeling that relies on MODELLER; MOULDER, a CPU intensive protocol of MODWEB for building comparativ

182 eins in the size range of 10-25 kDa the less CPU intensive restrained Rosetta refinement protocols pr

183 s 3D models of proteins without the need for CPU intensive structural alignments by utilizing the Q m

184 sometimes better, than popular and much more CPU-intensive methods for discrimination, including lass

185 However, the CPU-intensive nature of document comparison has limited

186 These results suggest that medial areas of CPu involved in excitatory conditioning with an appetiti

187 Since dopamine signaling in the CPu is not sufficient for glucoprivation-induced feeding

188 Rats with hippocampus, medial caudoputamen (CPU), lateral CPU, or control lesions were trained on de

189 Medial CPU lesions impaired rats' ability to learn the procedur

190 Both mCPu and CPu lesions increased RTs for initiating sequential resp

191 Rats with lateral CPU lesions were not impaired on either version of the t

192 Rats with CPu lesions were unable to exhibit temporal control of t

193 A CPU located in the emergency department can be a safe, e

194 admission to a chest-pain observation unit (CPU) located in the emergency department for such patien

195 sks achieving a reduction up to 30% for a 15 CPUs machine.

196 er density fractions in both CHO-HA-rMOR and CPu membranes.

197 htly improved results and very much improved CPU/memory performance on large datasets.

198 oops in a benchmark dataset is only about 10 cpu minutes for 12-residue loops, compared to ca 180 cpu

199 tes for 12-residue loops, compared to ca 180 cpu minutes using the FALCm method.

200 implementations have been developed for x86 CPUs, most are embedded into larger database search tool

201 ncrease c-Fos immunoreactivity in the medial CPu, NAcC, and nucleus accumbens shell (NAcSh).

202 in the majority of CA1 neurons and selective CPu neurons that overexpressed caspase-3.

203 In the CPu of beta-FNA treated rats, morphine-induced c-Fos and

204 eurotoxicity seen in the parietal cortex and CPu of the weanlings was much less than previously seen

205 ne synthesis to the central caudate putamen (CPu) of DD mice rescues feeding and survival.

206 d to be elevated in NAc and caudate-putamen (CPu) of FR relative to AL rats.

207 axons and terminals in the caudate putamen (CPu) of rats 7 days prior to a neurotoxic d-amphetamine

208 AS, as well as radiofrequency lesions of the CPu on the performance characteristics of rats trained o

209 (0, 0.3 mug/0.3 mul) in the caudate putamen (CPu) on CS responding in the non-alcohol context was als

210 alignments ten times faster than comparable CPU-only alignment software.

211 oximately equal to the number of independent CPUs operating on the data.

212 overall memory usage but also the number of CPU operations per alignment.

213 called MorphOT, which allows the use of both CPU or GPU resources.

214 ggest that 5-HT2A receptors in the NAcSh and CPu or in afferents to these regions may contribute to g

215 pocampus, medial caudoputamen (CPU), lateral CPU, or control lesions were trained on declarative and

216 nts with CRU compared with the patients with CPU (P < 0.016, P = 0.024, respectively).

217 l admission than among those assigned to the CPU (P<0.01 by the rank-sum test).

218 n the hippocampus (HIP) and caudate putamen (CPu), pERK and FosB/DeltaFosB levels were also increased

219 oactive data analysis by utilizing available CPU power from the server to automate the analysis proce

220 e on-pathway intermediate, and the demand of CPU power is moderate.

221 Retention of ECs seeded onto CPU precoated with SMCs was significantly improved by a

222 mation is derived which allows for efficient CPU processing times.

223 hances processing speed 10- to 100-fold over CPU processing.

224 habitual and instrumental responses (dorsal CPu) rather than pavlovian associations (NAc).

225 firm that REST greatly reduces the number of CPUs required by regular replica exchange and increases

226 ies, while a low-memory footprint and modest CPU requirements allow it to operate on a personal compu

227 This leads to increasing strain on CPU resources and decreasing density of first-hand annot

228 d does not demand a lot of system memory and CPU resources.

229 Using a single CPU Roary can produce a pan genome consisting of 1000 is

230 ets with 30 taxa or more after many weeks of CPU runtime.

231 niques with desktop central processing unit (CPU) runtimes faster than acquisition time for up to hun

232 and decodes up to 420 million genotypes per CPU second.

233 ical alignments take only a median time of 5 CPU seconds in a single R12000 processor.

234 t networks of several thousand genes in mere CPU seconds on a desktop workstation.

235 In this study, we show that pro-CpU serves as a substrate for transglutaminases.

236 of optimization strategies on both the host CPU side and the MIC side, which includes pre-fetching,

237 ATI 5870 GPU, on average, than the original CPU single-threaded implementation on an AMD Phenom II 8

238 Meanwhile, the Cu-DOU-CPU spontaneously self-heals at room temperature with an

239 terman algorithm and comparing it to similar CPU strategies as well as the fastest known GPU methods

240 However, peak CPU temperatures were high.

241 unction as a simple central processing unit (CPU) that senses multiple input signals, integrates thes

242 and JunB expression in the caudate-putamen (CPu), the mu receptor antagonist, beta-funaltrexamine (b

243 In the CPu, there was increased preprodynorphin mRNA in C57BL/6

244 d processes 30 million name-strings/hour per CPU thread.

245 STX) range mostly from 4 to 10 (resp. With 2 CPU threads and 2 GPUs, H-BLAST can be faster than 16-th

246 upled with computers that provide 40 or more CPU threads and multiple GPU (general-purpose graphics p

247 ence-free tools, Nubeam-dedup uses 50-70% of CPU time and 10-15% of RAM.

248 s and epistasis networks, and for estimating CPU time and disk space requirements.

249 ed suffix arrays, EMSAR minimizes the use of CPU time and memory while achieving accuracy comparable

250 Allele elimination requires less CPU time and memory, but does not always eliminate all i

251 rithm is asymptotically optimal O(N) in both CPU time and required memory, and application to the ace

252 ull MD simulations require 200 times as much CPU time as the implicit water LD simulations.

253 pression rates, or require a great amount of CPU time for decompression and loading every time the da

254 y, this method has significantly reduced the CPU time for modelling.

255 Median CPU time for ortholog prediction per gene by OrthoReD ex

256 dividual small tasks tempers competition for CPU time in the shared HPC environment, and jobs submitt

257 usands of conditions in a few minutes of the CPU time on a desktop computer.

258 ng with Langevin dynamics required 2-10 h of CPU time on average with a single AMD Athlon MP 2800+ pr

259 average, this requires approximately 29 h of CPU time per sequence.

260 -Skim uses <4% of the k-mers and <10% of the CPU time required by Sailfish.

261 This method reduces the CPU time required for calculating thermodynamic averages

262 ethod allowed us to significantly reduce the CPU time required to cluster these large compound librar

263 s in this pathway optimization: i) excessive CPU time requirements and ii) loosely constrained optimi

264 memory per computational thread and 15x more CPU time than Beagle.

265 onal challenge for search, requiring days of CPU time to annotate an organism's proteome.

266 meters were optimized to reduce the required CPU time to approximately 17 min, while retaining TASSER

267 ightning-fast, consuming only few seconds of CPU time to generate fragment library for a protein of t

268 sequence identity was accomplished in 2 days CPU time, and the removal of fragments and close similar

269 two weeks, a day and a half, and an hour of CPU time, respectively.

270 microenvironmental effects takes very little CPU time, the computational speed of the SCP formulation

271 add-on required relatively little additional CPU time.

272 bootstrap resampling and only costs computer CPU time.

273 h, however, requires very little increase in CPU time.

274 ib structure of some populations and reduces CPU time.

275 ee times as fast in central processing unit (CPU) time compared with a purely molecular dynamics (MD)

276 fold improvement in central processing unit (CPU) time with the choice of a simple centripetal biasin

277 or which they require prohibitive amounts of CPU-time and memory.

278 If we solved the problem of CPU-time required to apply AGAPE on millions of proteins

279 f the Markov Chain is short both in terms of CPU times and number of proposals.

280 ess files up to 16 GB, with linearly scaling CPU-times.

281 n the caudate-putamen (CPu) and decreases in CPu tissue dopamine levels in weanlings was much less th

282 ata processing is done locally by the user's CPU to ensure the security of patient data.

283 lly reduce wallclock time from 27 days on 40 CPUs to a single day using 4104 tasks, each task utilizi

284 round half an hour on a small server with 10 CPUs to access genotypes of approximately 60 million var

285 in low-risk patients in the chest pain unit (CPU) to reduce repeat emergency department (ED) visits a

286 MoTeX-II comes in three flavors: a standard CPU version; an OpenMP-based version; and an MPI-based v

287 including Python, Matlab and Java as well as CPU versus GPU implementations.

288 biological, temporal and computational (e.g. CPU versus GPU) scales, and then to visualize and interp

289 Responses in the CPu were excitatory, but poorly tuned.

290 R-labeled (FR(+)) axons and terminals in the CPu were greatly diminished with those remaining being e

291 ts with no ischemic ECG changes triaged to a CPU were randomized to CA (n = 123) or ETT (n = 125).

292 GluR6/7 and KA2 were increased in the dorsal CPu, whereas no significant changes were observed in the

293 istakes executes interactively on the system CPU while the GPU handles 3-D visualization tasks.

294 s defined as 'chronic persistent urticaria' (CPU), while the presence of urticaria for 2-4 days a wee

295 I finds influencers in 2.5 hours on a single CPU, while all BP algorithms (CIP, CIBP and BDP) would t

296 was commissioned in 2010, yet its eight-core CPUs with only 24GB RAM work well in 2017 for these dual

297 timized for performance on modern multi-core CPUs with SSE capabilities, only a few acceleration atte

298 complex-based polyurethane elastomer (Cu-DOU-CPU) with synergetic triple dynamic bonds is developed.

299 create "biological central processing units (CPUs)" with multiple BSC elements, capable of processing

300 stributed on a grid of more than 1.5 million CPUs worldwide (World Community Grid).